Podcasts about Accelerometer

Red Dirt Agronomy Podcast

Play Episode Listen Later Dec 16, 2024 25:29

Accelerometer Harmonization Methods (Pt1) - ProPASS Webinar - Prof. Ulf Ekelund and Dr. Jakob Tarp Part 1. This is audio from ProPASS ECR network webinar. In the third webinar (2nd December) we will hear from Prof. Ulf Ekelund and Dr. Jakob Tarp on harmonization methods. Pooling individual participant data from several research projects may not always be feasible. This talk will cover examples of meta-analyses/data harmonizations performed without transfer of original data. --- The Prospective Physical Activity, Sitting and Sleep consortium (ProPASS) ProPASS is an international research collaboration platform of cohorts using thigh-worn accelerometry to explore the effects of physical activity, posture, and sleep patterns on a wide range of health outcomes. The objectives of the consortium are: to establish a pooled data resource on physical activity, posture allocation, sleep, and health outcomes. to develop methods for processing, harmonizing, and pooling data of existing such studies. to develop methods for collecting data for future studies (prospective harmonization). The ultimate goal of the ProPASS consortium as a data resource is to promote collaborative individual participant and prospective meta-analyses on physical activity, posture, and sleep. --- This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle --- Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- Learn more about Fibion Flash - a versatile customizable tool with HRV and accelerometry capability. --- SB and PA measurements, analysis, and feedback made easy. Learn more about Fibion Research. --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Explore our Wearables, Experience sampling method (ESM), Sleep, Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen Follow Fibion on Twitter https://twitter.com/fibion Check our YouTube channel: https://www.youtube.com/@PA_Researcher

JACC - Accelerometer-Measured Sedentary Behavior & Risk of Future Cardiovascular Disease | JACC | AHA 2024

JACC Podcast

Play Episode Listen Later Nov 20, 2024 8:00

JACC Associate Editor Xiaoxi Yao, MPH, MS, PhD, FACC, interviews author Shaan Khurshid, MD and Ezimamaka Ajufo, MD, about their study on sedentary behavior presented at AHA and published in JACC. Beyond serving as a marker for insufficient physical activity, sedentary behavior may directly affect risk of future cardiovascular (CV) disease. In 89,530 UK biobank participants, greater accelerometer-measured sedentary time was associated with higher incidence of adverse CV events. Associations with sedentary time were particularly robust for HF and CV mortality, where risk inflected at approximately 10.6 hours/day and remained apparent even among individuals meeting guideline-recommended levels of moderate-to-vigorous physical activity. Future guidelines focused on sedentary behavior should emphasize the importance of avoiding excess sedentary behavior, even among individuals who are active.

uk future phd ms risk md behavior sitting cv mph aha associations cardiovascular measured cardiovascular diseases hf sedentary jacc accelerometer

Accelerometer Sensors in Livestock Management - RDA 315

Play Episode Listen Later Sep 26, 2024 30:25

"If we can get this objective data coming back in at an individual animal level, then we can start to manage it basically."Dr. Trotter emphasizes the importance of collecting precise data on individual animals to improve management practices in livestock, which can lead to better outcomes in terms of health and productivity.Other Topics Covered In This EpisodeThe challenges of reproductive efficiency in cattle herdsThe role of smart ear tags in monitoring livestockThe importance of data management in precision agricultureHow GPS data can optimize grazing patternsFuture applications of precision technologies in biosecurityWhen did they discuss that?(00:00:02) - Introduction to the episode and guest, Dr. Mark Trotter, a precision livestock management researcher from Central Queensland University.(00:00:34) - Reminder to subscribe and access additional information on the Red Dirt Agronomy website.(00:00:56) - Introduction of the team members, including Dr. Brian Arnall and Dr. Josh Lofton.(00:01:27) - Discussion about Dr. Trotter's visit to Oklahoma and his work in precision agriculture for livestock.(00:02:38) - Dr. Trotter shares details about his location in Rockhampton, Queensland, and its climate similarities to Stillwater, Oklahoma.(00:03:35) - Overview of Queensland as the beef capital of Australia and the region's agricultural diversity.(00:04:23) - Comparison of grazing practices and forage types between Australia and Oklahoma.(00:05:50) - Discussion on the types of grasses used in the region and the prevalence of native pastures.(00:06:41) - Dr. Trotter explains the average size of paddocks in his research area.(00:07:23) - Insights into stocking rates and cattle management in Queensland.(00:07:59) - Dr. Trotter addresses the challenges faced in precision agriculture and livestock management.(00:08:34) - Discussion on reproductive efficiency issues in northern Australia's cattle herds.(00:09:15) - Exploration of calf loss rates and the research being conducted to understand these challenges.(00:10:04) - Dr. Trotter emphasizes the need for precision in monitoring cattle health and productivity.(00:10:18) - Inquiry into how environmental factors affect cattle efficiency as one moves inland.(00:10:29) - Dr. Mark Trotter discusses the environmental challenges faced by cattle in northern Australia, particularly the need for higher bostaurus content in cattle as conditions become harsher.(00:10:49) - Dr. Brian Arnall inquires about the technologies being investigated to address these challenges, hint at implant or bolus styles.(00:10:59) - Dr. Mark Trotter introduces the concept of a smart tag, an earpiece that utilizes GPS and accelerometer technology to monitor cattle behavior and location.(00:12:12) - He explains how producers can use GPS data to understand grazing patterns and optimize land use, including potential fencing and water point placements.(00:12:54) - Dr. Brian Arnall asks about the power source for the smart tag, leading to a discussion about solar power and connectivity options.(00:14:41) - Dr. Mark Trotter elaborates on the challenges of connectivity in remote areas and the advantages of satellite-based ear tags.(00:15:55) - Dr. Josh Lofton raises concerns about data overload from the tags and how they plan to help producers interpret the information effectively.(00:17:32) - Dr. Mark Trotter explains the importance of developing algorithms to distill the data into actionable insights for producers.(00:18:58) - He shares findings from research in Spain regarding changes in cow movement patterns as indicators of impending calving.(00:19:20) - Dr. Mark Trotter discusses research on distinguishing between successful and difficult calving based on behavioral patterns.(00:19:51) - Dr. Mark Trotter discusses the differences in behavior between cows that keep their calves and those that lose them, highlighting the impact on maternal instincts.(00:20:13) - He emphasizes the importance of obtaining objective data from cattle in the field to improve management practices.(00:20:33) - Dr. Josh Lofton raises a question about how often ranchers actually see their cows in the field.(00:20:41) - Dr. Trotter explains the variability in cow visibility, noting that some ranchers may only see their cattle once a year.(00:21:09) - He shares the challenges ranchers face when they discover missing cattle without knowing the cause of their deaths.(00:21:22) - Dr. Lofton reflects on similar experiences in Louisiana, where ranchers have little contact with their cattle over long periods.(00:21:46) - Dr. Trotter mentions the concept of wild harvest, where cattle are taken from unmanaged areas, and how grazing systems are becoming more intensive.(00:22:07) - Dr. Lofton inquires about the growers' mentality regarding private industry access to daily animal activities in Australia.(00:22:28) - Dr. Trotter discusses data ownership issues and how leading producers prioritize data for management decisions over ownership concerns.(00:23:35) - He explains how technology can help detect diseases and monitor insect infestations, leading to better marketing strategies for producers.(00:24:23) - Dr. Brian Arnall draws parallels to the Farmers Business Network and how farmers are becoming accustomed to sharing data for benefits.(00:25:15) - He acknowledges the persistent mentality among ranchers about data ownership and privacy.(00:25:40) - Dr. Lofton highlights that some growers prefer private industry access to their data over government access.(00:25:52) - Dr. Trotter shares his reasons for visiting the U.S. and the connections he has made in the field of precision agriculture.(00:27:25) - He expresses his interest in the cultural similarities between Oklahoma and central Queensland, Australia.(00:27:42) - Dr. Trotter outlines his future research goals, focusing on using technology for biosecurity and disease detection.(00:29:18) - He discusses the potential for collaboration between Australia and the U.S. in addressing biosecurity challenges.(00:29:29) - Dave Deken thanks Dr. Trotter for his participation and encourages listeners to reach out for future discussions.(00:30:16) - The episode concludes with a reminder of copyright information regarding the podcast recording. RedDirtAgronomy.com

EYE ON NPI - ST LSM6DSV32X 6-Axis IMU with 32 g Accelerometer

Play Episode Listen Later Jun 13, 2024 10:17

This week's EYE ON NPI gyres and gimbels through the wave. It's the latest LSM6DS 6-axis accelerometer + gyroscope IMU from STMicroelectronics. (https://www.digikey.com/en/product-highlight/s/stmicroelectronics/lsm6dsv32x-6-axis-imu). This latest update to the LSM6DS line is packed with features such as I3C, step counter, Qvar electrostatic sensing, finite state machine, AI 'learning core' and embedded sensor fusion so not only are you getting an IMU but a full user interface and sensor management hub. We've been stocking and using the LSM6DS series for many years: starting with the LSM6DS33 (https://www.adafruit.com/product/4480) a great low cost 6-DoF to the LSM6DS3C-TR replacement (https://www.adafruit.com/product/4503) to the fancy-pants LSM6DSOX (https://www.adafruit.com/product/4438). These are pin-compatible, and nearly-firmware-compatible sensors that are compact, sensitive and precise. In particular, what we look for in a good IMU chip is the gyro offset and drift. When making an inertial measurement unit (IMU) especially one used for orientation calculations, the quality of the gyroscope has a big impact on the jitter/speed/drift. (https://learn.adafruit.com/adafruit-sensorlab-gyroscope-calibration/comparing-gyroscopes) Accelerometers are pretty good quality these days, we've figured out how to make them decades ago. And magnetometers are not as important - they don't update often and are used for orientation correction. Gyro's have the most error possibilities. In general, the more you pay, and the newer the sensor, the better performance you'll get in the form of low offset and low drift. The LSM6DSV32X has similar gyro/accel characteristics from the LSM6DSOX and ISM330DHCX - although we'll note the min/max is not documented, just the typical values. And there's some ISM330 parameters such as Angular random walk and Bias Instability, that are not specified. That said, as long as you're good on calibration, and the specs are within your limits, the embedded functions are where the LSM6DSV32X really shines. Like many ST accelerometers, there's a built in pedometer (https://github.com/adafruit/Adafruit_LSM6DS/blob/master/examples/adafruit_lsm6ds_pedometer/adafruit_lsm6ds_pedometer.ino) as well as a tilt / motion sensor. The first is good for step counting, the second lets the sensor go into a low power state and set an interrupt pin when the device is moved or tilted to wake up the rest of the UI. The more advanced functions include a 'machine learning core' (https://www.st.com/resource/en/application_note/an5804-lsm6dsv16x-machine-learning-core-stmicroelectronics.pdf). We use that term lightly because it's more like a 'decision tree' where you can set up test conditionals post-normalization/filtering to classify simple motion states such as "running", "sitting" "lying down". These won't be as flexible as a true machine-learning algorithm that uses sample data to create a model, but you also don't have to spend any power or computation. Another advanced feature ST has been adding to many of their chips is Qvar electric charge variation detection sensing. This ultra-sensitive capacitance-like sensing can be used for human presence and motion detection, as well as touch/proximity detection. The eval board comes with a few Qvar plates for trying it as a slide or touch sensor as well as a 'radar' like proximity detector. (https://www.digikey.com/en/products/detail/stmicroelectronics/STEVAL-MKI240KA/22522578) This could be nice to use if you've got a microcontroller that does not have touch sensing peripherals, since now you don't need a separate chip. The new feature we're most interested in is the "Sensor fusion low power" block - which can output a game rotation vector in quaternions, that gives the chip attitude (https://en.wikipedia.org/wiki/Orientation_(geometry)) direct from the sensor, without needing to continuously read/buffer/analyze the 6-DoF data. We'll note that there's no magnetometer, so it won't have 'absolute' orientation against the earth, but for many use cases a rough orientation - especially one that is self-driving and low power - will suffice. We'll note that for getting started, the LSM6DSV16X library on GitHub has examples for this and the other embedded features. (https://github.com/stm32duino/LSM6DSV16X) If you want to try out the new ST LSM6DSV32X 6-Axis IMU with 32 g Accelerometer (https://www.digikey.com/short/bhq3bwhf) or it's smaller sibling, the LSM6DSV16X (https://www.digikey.com/short/524744wt) both are available and in stock from DigiKey right now. Pick the 16g version if you're doing every-day motion sensing and 32g for sports / high speed activities. The eval board is also available and great if you want to start fast and also check out the new Qvar sensor feature (https://www.digikey.com/en/products/detail/stmicroelectronics/STEVAL-MKI240KA/22522578). Order today and you will be ready to integrate the latest IMU into your design by tomorrow afternoon.

ai ui github axis orientation sensor angular gyro imu dof stmicroelectronics accelerometer digikey

Ep. 566 – Why are Scientists Banding Scaup, Canvasbacks, and Redheads on Pool 19?

Ducks Unlimited Podcast

Play Episode Listen Later Apr 2, 2024 67:19

Lesser scaup are one of several duck species in North America that have experienced long-term population declines, and despite decades of research, the exact cause of this decline remains unclear. Because of its profound importance as a spring stopover site for migrating scaup and other divers, Pool 19 on the Mississippi River has played a crucial role in numerous scientific studies. In this episode, PhD candidate Cheyenne Beach and field assistant extraordinaire Jack Johnson join Dr. Mike Brasher to explain why so many divers show up on Pool 19 each spring; what we hope to learn from long-term banding of scaup, canvasbacks, and redheads; and how an ongoing GPS tracking study is helping understand how the invasive faucet snail may affect scaup health and productivity.www.ducks.org/DUPodcast

Wireless Sensor – MEM's Accelerometer Basics

Fluke Reliability Radio

Play Episode Listen Later Mar 15, 2024 61:20

In this topic we will discuss the use and utility of MEM's sensors for vibration analysis. We will compare attributes of legacy Piezo electric sensors vs MEM's including how each works, and strengths & weakness of each. We then discuss how we can leverage the MEM's sensor in a wireless sensor package and what results we see in using MEM's for impact detection.Speaker:Steven Hudson, Director, Professional ServicesRemote Analysis ServicesReciprocating Analysis ServicesField ServicesBackground:35 years in PdMISO Cat IV Vibration AnalystNaval Nuclear Power Engineering (Submarines)SME Marine, Steel, Food, Combustion Engine► Register for an upcoming webinar here: https://flukereliability.info/bpw-frr

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/Highlights/ Accelerometer Harmonisation Methods (Pt2) - ProPASS Webinar - Prof. Ulf Ekelund and Dr Jakob Tarp

Medmastery's Cardiology Digest

Play Episode Listen Later Feb 20, 2024 37:36

Part 2. This is audio from ProPASS ECR network webinar. In the third webinar (2nd December) we will hear from Prof. Ulf Ekelund and Dr Jakob Tarp on harmonisation methods. Pooling individual participant data from several research projects may not always be feasible. This talk will cover examples of meta-analyses/data harmonizations performed without transfer of original data. --- The Prospective Physical Activity, Sitting and Sleep consortium (ProPASS) ProPASS is an international research collaboration platform of cohorts using thigh-worn accelerometry to explore the effects of physical activity, posture, and sleep patterns on a wide range of health outcomes. The objectives of the consortium are: to establish a pooled data resource on physical activity, posture allocation, sleep, and health outcomes; to develop methods for processing, harmonising, and pooling data of existing such studies; to develop methods for collecting data for future studies (prospective harmonization); The ultimate goal of the ProPASS consortium as a data resource is to promote collaborative individual participant and prospective meta-analyses on physical activity, posture, and sleep.

sleep prof sitting webinars methods tarp pooling accelerometer ulf ekelund

#8: Re-evaluating Aspirin, the amiodarone enigma, and are there health benefits to being a 'weekend warrior'?

Play Episode Listen Later Feb 14, 2024 12:22

Our latest episode of Cardiology Digest delves into some of the most intriguing and thought-provoking recent studies in the realm of heart health. Here's a sneak peek into what awaits you: STUDY #1: We have the Amiodarone Enigma: An observational study in the Annals of Internal Medicine has brought up some concerns regarding the use of amiodarone in patients with heart failure, coronary disease, and renal failure. But is everything as it seems? Dive into the nuances of this study with us, as we explore whether the observed excess bleeding is truly due to the drug, or the elevated bleeding risk in these patients. Is it time to change our practice or do we need more compelling evidence? Ray WA et al. Risk for bleeding-related hospitalizations during use of amiodarone with apixaban or rivaroxaban in patients with atrial fibrillation: A retrospective cohort study. Ann Intern Med 2023 Jun; 176:769. (https://doi.org/10.7326/M22-3238) STUDY #2: We re-evaluate Aspirin for older patients, thanks to the ASPREE study that was recently published in JAMA Network Open. It looks like it's time to reassess our recommendations and consider whether we're truly informed about the pros and cons of aspirin as a risk-reduction strategy. Cloud GC et al. Low-dose aspirin and the risk of stroke and intracerebral bleeding in healthy older people: Secondary analysis of a randomized clinical trial. JAMA Netw Open 2023 Jul 3; 6:e2325803. (https://doi.org/10.1001/jamanetworkopen.2023.25803) STUDY #3: Lastly, we find out if there are health benefits to being a “weekend warrior”. Have you ever had patients question the health benefits of their active weekends? This study from JAMA sheds light on the potential importance of exceeding the 150-minute weekly threshold of moderate-to-vigorous physical activity. But just how beneficial is it? Tune in to find out! Khurshid S et al. Accelerometer-derived “weekend warrior” physical activity and incident cardiovascular disease. JAMA 2023 Jul 18; 330:247. (https://doi.org/10.1001/jama.2023.10875) Join us in this episode as we dissect these studies, offering insights and sparking discussions that could reshape our understanding of cardiology. Don't miss out on this enlightening journey! For show notes, visit us at https://www.medmastery.com/podcasts/cardiology-podcast.

ActiPASS: Thigh-worn Accelerometer Data Processing with Dr. Peter Johansson – ProPASS

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Play Episode Listen Later Nov 6, 2023 13:26

Testing Hockey Players, External Load, and Moving the Needle with Dr. Mal McHugh & Reg Grant

The High Performance Hockey Podcast

Play Episode Listen Later Oct 23, 2023 72:34

In This Episode, You Will Learn: Analyzing hockey player data for performance and recovery insights The gaps in sports science and its application today. Resources + Links: Check out Anthony's Masterclass - The High Performance Hockey Masterclass Follow Anthony on Instagram | @anthonydonskov Follow Anthony on Twitter | Anthony Donskov, PhD Subscribe to our YouTube Channel | The HPH Podcast with Anthony Donskov Follow HPH Podcast on Instagram | @hph_podcast Follow HPH Podcast on Twitter | @TheHPH_Podcast Learn more on our Website | https://www.donskovsc.com/ Check out Anthony's Books Physical Preparations for Ice Hockey: Biological Principles and Practical Solutions The Gain, Go, and Grow Manual: Programming for High Performance Hockey Players Show Notes: Today we're joined by Dr. Mal McHugh and Reg Grant! Mal is the Director of Research at the Nicholas Institute of Sports Medicine and Athletic Trauma at Lenox Hill Hospital, which is part of the Northwell Health System. Mal is also the Sports Performance Consultant for the National Hockey League. Reg is the Director of Human Performance at Holy Name Medical Center in Teaneck, New Jersey, a former President of the Strength and Conditioning Association of Professional Hockey, and for 17 years served as the Head Strength Conditioning Coach of the New York Rangers, which specializes in leading interdisciplinary health, wellness and athletic performance teams. In this episode, we talk about decades of testing from the Batman and Robin of testing and high performance hockey, Reg on the floor collecting the data and Mal analyzing the data behind the scenes. We also speak about external load and ice hockey, and a research article yet to be published by Mal titled ‘Accelerometer based measurement of physiological and physical intensity in male ice hockey players: An algorithm for quantifying accelerometry data and ice hockey, identifying a reliable g-force profile'. Interesting article, interesting conversation, interesting talk. 00:00:00 Welcome back to the show, Dr. Mal McHugh and Reg Grant! 00:02:10 How, where, and with whom did you evolve your data stream? 00:05:10 How did you two start working together? 00:07:50 What were the biggest mistakes you learned from? 00:11:40 What were your aha moments? 00:14:05 Giving context to information to get results. 00:17:45 What are the limitations of measurements? 00:21:00 How did your technology evolve? 00:27:40 What were the biggest insights you made? 00:32:25 What targeted interventions did your data allow you to make? 00:35:00 How Mal analyzes athlete data, athletic performance, and injury risk. 00:38:50 Using accelerometry to measure G-force in ice hockey players. 00:41:40 Analyzing hockey player data for performance and recovery insights. 00:46:55 Is there an ideal G-force profile? 00:49:25 Why do you measure G-force? 00:55:45 What gaps are you seeing in sports science and its application? 01:02:00 Best practices for applying sports science in training environments. 01:06:30 When hiring a sports performance director how do you objectify the position?

Interpreting Accelerometer and Self-report Data (Pt3) - Data Analysis for SB Mini Series

ai benefits led miniseries interpreting data analysis tikkanen accelerometer

Play Episode Listen Later Sep 19, 2023 8:58

About the Miniseries: Welcome to our engaging podcast mini-series, "Data Analysis for Sedentary Behaviour." This six-part series is aimed at shedding light on the intricate world of data analysis related to sedentary behavior. Led by Dr. Olli Tikkanen, each episode explores a different facet of this exciting field, from data pre-processing techniques to the interpretation of results. By the end of the series, listeners will have a comprehensive understanding of the complexities and nuances of this vital aspect of health science. About the Episode Topic: In episode three of our mini-series, Dr. Tikkanen focuses on the interpretation of data obtained from different measurement techniques used in analyzing sedentary behavior. Accelerometer data and self-report data, two primary sources of information in this field, are unpacked with a keen focus on their individual strengths and limitations. Accelerometer data, which is quantitative and objective, provides an intensity measure of physical activity, interpreted using cut points. However, these cut points can differ based on the specific accelerometer used and the study population. On the other hand, self-report data is subjective and qualitative, gathered through surveys or questionnaires. While it provides insights into an individual's perception and experience of their physical activity, it can be influenced by several factors such as memory and personal biases. Despite their limitations, both forms of data, when interpreted correctly, provide a comprehensive view of sedentary behavior and physical activity. Timestamps: [00:01:00] Introduction to interpreting accelerometer data. [00:02:00] Discussion on cut points in accelerometer data. [00:03:00] Introduction to machine learning algorithms and AI. [00:04:00] Benefits of thigh-worn accelerometers. [00:05:00] Introduction to the interpretation of self-report data. [00:06:00] Potential biases in self-report data. [00:07:00] Key takeaways and wrap up. ------- Want to book a video call with Dr Olli Tikkanen to discuss your sedentary behavior or physical activity measurements? Here's the link: https://olli.tucalendi.com/par/videocall

The Accuracy of Thigh-Worn Accelerometer in Measuring Children's Cycling - Article Highlight

children study conclusion implications measuring considerations cycling aim sensitivity accuracy worn specificity thigh accelerometer

Play Episode Listen Later Aug 18, 2023 10:04

Summary: In this episode, Dr. Olli Tikkanen discusses a 2023 study titled "Sensitivity and Specificity of Measuring Children's Free Living Cycling with a thigh worn Fibion accelerometer." The study explores the effectiveness of the Fibion device in accurately measuring the duration and intensity of children's physical activity while cycling. The results indicated that the Fibion accelerometer was capable of accurately capturing cycling activity, but could underestimate the metabolic equivalent of tasks (MET) during cycling due to interruptions like traffic lights or freewheeling. Explained Article: Sensitivity and Specificity of Measuring Children's Free Living Cycling with a thigh worn Fibion accelerometer Timestamps: [00:00:00] Introduction [00:01:00] Background of study [00:02:00] Aim of study [00:03:00] Study design and data collection [00:04:00] Introduction to Fibion device [00:05:00] Study findings and comparison of cycling to walking and car trips [00:06:00] Sensitivity and specificity of Fibion device in measuring cycling [00:07:00] Implications and limitations of the findings [00:08:00] Conclusion and potential for future research [00:09:00] Considerations for physical activity researchers [00:10:00] Closing remarks If you're planning to do sedentary behaviour or physical activity measurements, book a video call with Dr Miriam Cabrita here. Dr Olli Tikkanen hosts the Physical Activity Researcher Podcast.

EYE on NPI: Bosch Sensortec BMI323 Inertial Measurement Unit

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Play Episode Listen Later May 18, 2023 10:57

This week's EYE ON NPI will get you designing IMUs #LikeABosch (https://www.bosch.com/stories/like-a-bosch/) with the Bosch Sensortec BMI323 Inertial Measurement Unit (https://www.digikey.com/en/product-highlight/b/bosch-sensortec/bmi323-inertial-measurement-unit). A low cost, but high precision 6-axis inertial measurement unit (IMU) that has 16-bit accelerometer and 16-bit gyroscope for quality output at a great price. This sensor comes with two sensors combined inside: an accelerometer (https://en.wikipedia.org/wiki/Accelerometer) and a gyroscope (https://en.wikipedia.org/wiki/Gyroscope) - both MEMS sensors (https://en.wikipedia.org/wiki/MEMS). Bosch has a ton of experience with making MEMS sensors - one of our very favorite sensors is the Bosch BNO055 (https://www.digikey.com/en/products/detail/bosch-sensortec/BNO055/6136301) which has accelerometer, gyro and also magnetometer as well as a SAMD21 chip inside that runs a sensor fusion algorithm, which makes it great for projects that want to get going with full orientation data quickly. But you'll pay for that convenience: the BNO055 costs about $7.50 a hefty BOM cost. If you've already got a microcontroller on your design, say a Cortex M series or ESP32 or other fairly powerful chip with an FPU or secondary core, you can save a bundle by DIY'ing your own sensor fusion. You can even do some very basic orientation sensing with just a 6-axis sensor like this one, or if you want to also fuse in magnetometer data, the BMM150 (https://www.digikey.com/en/products/detail/bosch-sensortec/BMM150/4196671) is a great mini I2C sensor that will work with any Bosch 6-axis IMU - combine with the BMI323 and for about $3 total you can have great 9-DoF sensor. Then you can use Bosch's Sensor Fusion Software (https://www.bosch-sensortec.com/software-tools/software/sensor-fusion-software/) BSXlite which comes as binary blobs for ARM Cortex chips that take in the raw sensor values and pop out quaternion (https://en.wikipedia.org/wiki/Quaternion) and Euler angles (https://en.wikipedia.org/wiki/Euler_angles) - you could probably request for them to compile it for another chip family like Tensilica or RISC-V if you like. The BMI323 has 16-bit data out for both sensors, and FIFO's so you will get quality data without skipping a sample. There's a full datasheet that goes through every setting and register for the BMI323 but if you'd like to skip the low-level implementation part, Bosch has been great for releasing portable C code support for their chips and the BMI3 series has its own github repo (https://github.com/BoschSensortec/BMI323-Sensor-API) with just about all functionality implemented. Note it's fairly 'generic' code, with Linux Kernel headers but otherwise without HAL implementation, so you'll need to port the common.c file to your platform (https://github.com/boschsensortec/BMI323-Sensor-API/tree/main/examples/common) to read and write I2C or SPI and add chip-specific delay. If the idea of a low cost IMU has you doing the twist or shaking your arms in excitement, the Bosch Sensortec BMI323 Inertial Measurement Unit (https://www.digikey.com/short/m33tnfdn) is in stock now at Digi-Key, with thousands of pieces ready for instant purchase. Order today and Digi-Key will package and ship your shipment instantly: you'll be motion sensing #LikeABosch (https://www.bosch.com/stories/like-a-bosch/) by tomorrow afternoon.

diy hal bosch bom measurement spi fifo euler risc v mems imu dof linux kernel fpu gyroscopes esp32 accelerometer i2c

Polymaticast 99 – Cyberpunky

Polymaticast

Play Episode Listen Later Mar 1, 2023 63:56

Talking Tech 21st February 2023

Talking Tech - Vision Australia Radio

Play Episode Listen Later Feb 21, 2023 14:53 Transcription Available

Are Smart Phones That Hard to Access and Use for Blind, Low Vision or for anyone? I'm thinking of all the accessibility options that a person has to access a Smart Phone, all the accessible apps one can use, and plugging in or accessing external hardware to extend the functionality of the computer in your pocket. In fact, I think we should just call it the smart device in your pocket, what other custom device come close. Have a look at the following. Accessibility Changes VoiceOver *customising Voiceover. *Hand /writing Mode. *Quick Nav. *hardware keyboard support. *customised keyboards support: Hable One, Orbit Writer, RIVO. *Braille Input. *Braille displays input/display.ys. Zoom *Customising Zoom settings. Display and Text Size settings. *Bold Text toggle. *Reduce Transparency toggle. *Contrast toggle. *Differentiate by Colour toggle. *Smart Invert toggle. *Classic Invert. *Colour Filter settings. *Reduce White Point toggle. *Auto Brightness toggle. Spoken Content *Speak Screen toggle. *Typing Feedback togle. Physical *Assistive Touch settings. *Touch Screen Accommodations settings. *Tap to Wake. *Shake to Undo toggle. *Prevent Lock (Side button) to End Call. *Switch Control. *Guided Access. Back Double Tap and Triple Tap settings Side Button (Click Speed settings). Voice Input *Voice Control. *Voice Dictation. Siri *Type To Siri Toggle *Always Listen For Hey Siri toggle *Siri Pause Time settings. *Announce Notifications on Speaker toggle. *Spoken Response settings. *Siri Shortcuts. *Type to Siri. Hardware Keyboards *Key Repeat Toggle. *Sticky Keys toggle. *Slow keys toggle. Software Keyboards *Show Lower Case Keys toggle. Calls *Call Audio Routing *Auto Answer Calls. Biometric *Face ID. *Finger Print. Consistent interface in using apps. turn your smart phone in to any device using an app. Access Cellular, WiFi, Bluetooth, Camera, NFC, GPS, Accelerometer, Gyroscope, barometer, and Wireless Charging. External Displays, Stands, Storage, Printers/Scanners, and Smart Home Devices. Or, Use the Smart Phone with just one or two apps on the Home Screen. It can be as easy or advanced as you want to make it. Apple Working on How to Read Back iMessages in the Senders Voice I'm not sure why Apple would even want to do this, why doesn't the person simply send send an audio message. sometimes that there is no problem to be resolved. https://appleinsider.com/articles/23/02/16/apple-working-on-how-to-read-back-imessages-in-the-senders-voice?utm_medium=rss How to Fix Siri Suggestions in Launching the wrong iOS 16 Features How to fix that annoying Siri suggestion or starting the wrong app which Siri most confidently basis its response on the last time you made a similar request. https://appleinsider.com/inside/siri/tips/how-to-fix-siri-suggestions-launching-the-wrong-ios-16-features? Don't Wait for AI Search, Get Better Results with What you Have Now What problem is AI-search technology trying to solve? One seems to be giving a single pat answer to what is traditionally multiple time-consuming searches, letting you ask questions naturally instead of using existing search shorthand and tricks. They also build on something search engines have already been doing. https://www.washingtonpost.com/technology/2023/02/15/search-tips/?utm_source=rss&utm_medium=referral&utm_campaign=wp_business-technology AI Chat Bots got Big, and Their Ethical Red Flags got Bigger There are financial incentives to rapidly commercialize AI outweighing concerns about safety or ethics. There isn't much money in responsibility or safety, but there's plenty in overhyping the technology as this article explains. https://www.wired.com/story/chatbots-got-big-and-their-ethical-red-flags-got-bigger/Support this Vision Australia Radio program: https://www.visionaustralia.org/donate?src=radio&type=0&_ga=2.182040610.46191917.1644183916-1718358749.1627963141See omnystudio.com/listener for privacy information.

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Build Your Brain with Strength Training?! - NEW RESEARCH!

Marc Lobliner Show

Play Episode Listen Later Dec 16, 2022 12:58

Listen on Spotify, Apple Podcasts and most other Podcast Platforms. Search "Marc Lobliner Show" Buy Mental Jewels HERE! https://www.tigerfitness.com/products/ambrosia-mental-jewels References: Gordon BR, McDowell CP, Hallgren M, Meyer JD, Lyons M, Herring MP. Association of efficacy of resistance exercise training with depressive symptoms: Meta-analysis and meta-regression analysis of randomized clinical trials. JAMA Psychiatry. 2018;75(6):566. doi:10.1001/jamapsychiatry.2018.0572 Spartano NL, Demissie S, Himali JJ, et al. Accelerometer‐determined physical activity and cognitive function in middle‐aged and older adults from two generations of the Framingham Heart Study. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2019;5(1):618-626. Salci LE, Martin Ginis KA. Acute effects of exercise on women with pre-existing body image concerns: A test of potential mediators. Psychology of Sport and Exercise. 2017;31:113-122. doi:10.1016/j.psychsport.2017.04.001 Fernández-Bustos JG, Infantes-Paniagua Á, Cuevas R, Contreras OR. Effect of physical activity on self-concept: theoretical model on the mediation of body image and physical self-concept in adolescents. Front Psychol. 2019;10:1537. doi:10.3389/fpsyg.2019.01537 Get my free app: https://www.tigerfitness.com/blogs/training-programs/tiger-fitness-trainer

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/Republication/ From Intelligent Credit Card to Cloud-based Accelerometer System - CEO Kasper Lykkegaard (Pt1) - Bonus episode

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Play Episode Listen Later Oct 19, 2022 22:40

Kasper Lykkegaard is co-founder and CEO of the company SENS INNOVATION ApS specialised in developing small, low power and flexible sensing devices for medical purposes. --- This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring Learn more about Fibion: fibion.com/research --- Collect, store and manage SB and PA data easily and remotely - Discover new Fibion SENS Motion: https://sens.fibion.com/

Why to use R in Your Accelerometer Data Analysis? Dr Samad Esmaeilzadeh (Pt2)

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Play Episode Listen Later Sep 20, 2022 35:37

Announcement Related to the Rest of the 2022 - Irregular Publishing Schedule Dear listeners, So it happened that both of the podcast hosts became parents on the very same day! Recordings have been swapped to diaper changing and lullaby singing. This means that the Meaningful Sport Series will be paused until about the end of the year. Regular episodes and Practitioner`s Viewpoint Series will be running but with less episodes. Some of the popular episodes will be republished from earlier days of the podcast. Thanks for your understanding and we hope that the over 400 episodes so far will provide something to listen to meanwhile. We are enthusiastic about the podcast and grateful for all the positive feedback and support, it really makes our day. While we scale back we would still appreciate all your feedback and suggestions on who and what you would like to hear in the podcast as it will be returning to full swing next year. Have a great autumn all, Noora and Olli --- Dr Samad Esmaeilzadeh got his PhD in 2015 from University of Mohaghegh Ardabili, Ardabil, Iran. His PhD thesis was about finding agreement between heart rate deflection point (HRDP) and maximal lactate steady state (MLSS). He performed research studies about physical activity, physical fitness, weight status, cognitive function and depression in children and young adults. Currently, he is doing research at the South Eastern University of Applied Science, Mikkeli, Finland. -------------------- This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring Learn more about Fibion: fibion.com/research --- Collect, store and manage SB and PA data easily and remotely - Discover new Fibion SENS Motion: https://sens.fibion.com/

EYE on NPI: ST Micro's AIS25BA 3-Axis Accelerometer

Pepperl+Fuchs Plugged-In: Product Reveal

Play Episode Listen Later Sep 15, 2022 12:11

This week's EYE ON NPI has great vibes, it's ST Micro's AIS25BA 3-Axis Accelerometer (https://www.digikey.com/en/product-highlight/s/stmicroelectronics/ais25ba-3-axis-accelerometer) a unique take on the classic tripe-axis motion sensor where data is streamed out with a TDM interface rather than I2C or SPI! We've never seen this kind of sensor but the idea behind its use case is kinda cool and is a great demonstration of using sensor fusion to cancel out or extract data from two 'directions'. Usually accelerometers we've covered on NPI before are used for tilt or motion sensing, detecting if something is falling or was struck. Another good use for this common sensor is vibration detection. You need very fast sensor reading but any vibration can be detected and sensed as motion and then integrated for displacement. That's pretty much what a microphone (https://en.wikipedia.org/wiki/Microphone) does as well, right? It takes vibrations in the air, then the displacement is converted to a capacitive measurement via MEMS (https://www.digikey.com/short/tt7qnddr) or current/voltage measurement via electret (https://www.digikey.com/short/9vdczd9n). So, what if in addition to measuring the air movement with the microphone, we also got to measure the vibration of a surface with an accelerometer? Dense surfaces will be better at low frequency measurements, and the microphone element will be better at high frequency. With a little filter work, we can combine these two data streams so that we get clear audio without the motion or air noise that often adds crackling, or overwhelms the analog front end. (https://www.st.com/resource/en/flyer/fllis25ba0218_lr.pdf) ST Micro's AIS25BA 3-Axis Accelerometer (https://www.digikey.com/short/3zrr4c8b) is the automotive-qualified version of the LIS25BA (https://www.digikey.com/short/c9bt59c0) but both function basically the same so choose whichever is best for your application. In both sensors, the configuration and test is still done over I2C - setting gains, offset, self-test, etc. Then data is streamed over a TDM audio-interface so it can be quickly funneled into a DSP or microcomputer that performs the high/low-pass filtering and merging. As demo'd by an ST engineer (https://www.youtube.com/watch?v=bi4NenlnR-k), the sound quality is greatly improved, kinda like a reverse-noise-cancelling-headphone. Particularly as so many more devices like cars are becoming voice-controlled to allow for advanced uses, and avoid mechanical components that can wear out or get dirty, having good clean audio input (https://www.st.com/resource/en/user_manual/um2824-getting-started-with-the-stm32cube-function-pack-for-acoustic-echo-cancellation-stmicroelectronics.pdf) is key to having a UX that is great versus one that is annoying to use. There's even a driver for the I2C side of things over on GitHub to get you started quickly. (https://github.com/STMicroelectronics/ais25ba-pid.git) Best of all, STMicroelectronics' AIS25BA 3-Axis Accelerometer (https://www.digikey.com/short/3zrr4c8b) is in stock now at Digi-Key for immediate shipment! Order today and your sensors will be shipped immediately so you can be noise-cancelling like a pro by tomorrow morning.

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Vibration Sensors and Inertial Measurement Units (IMU)

Play Episode Listen Later Sep 14, 2022 13:57

Join Helge Hornis and Cory Ockunzzi as they discuss vibration sensors and the inertial measurement unit IMUF99. Vibration sensors play an important role in machine condition monitoring by measuring normal operating conditions and informing the user when vibration changes and maintenance is required. Performing maintenance outside of business hours prevents the machine from shutting down during working hours, which can be very costly in terms of lost production, labor, and employee satisfaction. Inertial measurement units are widely used in the Mobile Equipment industry and other industries. The IMUF99 features a built-in gyroscope to measure inclination in 3 axes and an accelerometer to measure acceleration and rotation in 3 axes. The intelligent Sensor Fusion Algorithm combines the signals from the gyroscope and accelerometer to compensate for the effects of acceleration and provide error-free inclination detection during dynamic motion.See omnystudio.com/listener for privacy information.

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Chip Shortage: NXP MMA8451 triple axis accelerometer

Play Episode Listen Later May 17, 2022 3:43

Chip Shortage is a new feature video by Adafruit's Ladyada to highlight items that are in short supply or possibly "unobtainium" (with no known return date to the market). This week is the NXP MMA8451 Triple-Axis Accelerometer, https://www.nxp.com/part/MMA8451Q#/ These are used in the Adafruit MMA8451 Triple-Axis Accelerometer w/ 14-bit ADC breakout, https://www.adafruit.com/product/2019 Adafruit has had these chips ordered from DigiKey for a year now https://www.digikey.com/short/ddrd4bvh with no known delivery date. Adafruit wishes to receive the 10,000 piece order to fulfill the backlog of requests for this highly used part. --------------------------------------- Adafruit is working night and day to keep products in stock and deliver new products during the chip shortage. Visit https://www.adafruit.com/new to see what new items have been released to find redesigned products with chips that are available. Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Adafruit on Instagram: https://www.instagram.com/adafruit Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/

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Accelerometer data analysis with GGIR software package - Dr Jairo Hidalgo Migueles (Pt1)

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Play Episode Listen Later May 17, 2022 21:39

Accelerometer data analysis with GGIR software package - Dr Jairo Hidalgo Migueles (Pt1) Dr Jairo H. Migueles studied Physical Activity and Sport Sciences (2009-2013) and a Research Master in Physical Activity and Sport at the University of Granada (2014-2015). He is currently doing his doctoral thesis at the University of Granada with the ActiveBrains project (effects of a randomized controlled exercise program on cognition, mental and physical health in overweight and obese preadolescents). His main areas of interest are: Evaluation of physical activity, energy expenditure and sleep objectively through accelerometry. Assessment of physical fitness in young population Study of the effects of physical activity, physical exercise and sleep on different dimensions of physical, mental, cognition and brain health in young people. Physical exercise interventions through the use of mobile phones (SmartPhones), which today is known as m-Health --- This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring Learn more about Fibion: fibion.com/research --- Collect, store and manage SB and PA data easily and remotely - Discover new Fibion SENS Motion: https://sens.fibion.com/

Engines of Our Ingenuity 2766: Pedometers

Engines of Our Ingenuity

Play Episode Listen Later Mar 24, 2022 3:50

Episode: 2766 Do Wrist Mounted Pedometers Really Work? Today, an investigation.

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EYE on NPI – Murata SCL3300 Series 3-Axis Inclinometer Switch

Play Episode Listen Later Mar 17, 2022 8:52

We're inclined to think you'll love this week's EYE ON NPI, since it's the Murata SCL3300 Series 3-Axis Inclinometer (https://www.digikey.com/short/9pqpb9z3), a really unique and useful sensor that can be very useful for industrial and robotic applications. Inclinometers measure...incline! (https://en.wikipedia.org/wiki/Inclinometer) That is, the angle of tilt of the sensor and the platform it's placed on. This is useful when you want to make sure something is perfectly straight or flat with respect to the center of Earth's mass. If a robot or piece of construction equipment isn't perfectly level, errors can build up and construction projects can end up with big flaws, gaps or repairs. Not good! Now experienced engineers (including ourselves, before we researched this part) may be wondering: wait, if you're measuring tilt with respect to the earth, why not just use an accelerometer (https://en.wikipedia.org/wiki/Accelerometer)? Accelerometers measure acceleration, and gravity is an acceleration force everything on Earth is affected by, so you can easily do some math on the number of g's measured by an accelerometer and convert that into tilt with a little math as shown by this detailed ST app note (https://www.st.com/resource/en/application_note/an4509-tilt-measurement-using-a-lowg-3axis-accelerometer-stmicroelectronics.pdf) So why have a special sensor called an inclinometer, and why does it cost much more? Well, accelerometers can be used for rough tilt calculations, but they're not really designed for it. They tend to be used for 'gross motion detection' like taps, jerks, big angles. For that reason many everyday accelerometers are maybe 10 to 12 bits of precision (https://www.adafruit.com/?q=accelerometer&sort=BestMatch) and +- 2g to +-16g. That's fine for motion detection, but not precise enough for minute changes in tilt, where only a few mg of change in gravity can affect the angle. So you can think of an inclinometer as a special type of accelerometer, with very low g rating, and very very high accuracy (how close the reported value is to reality) and high precision (how many digits you can squeeze out of the measurement) So for example, a common accelerometer may have, at +-2g a precision of 1mg per LSB, whereas the SCL3300 in inclination mode has a precision of 12000 LSB/g (which is 12 LSB/mg and 0.08 mg/LSB). The noise density on a common accelerometer is about 220 μg/√Hz, on the SCL3300 is as little as 15 μg/√Hz The temperature and offset stability are also going to be much better. Basically, its very very precise, but not designed for moving fast - that's what a high g accelerometer would be for! For detection of small changes, or small angles, the Murata SCL3300 Series 3-Axis Inclinometer (https://www.digikey.com/short/9pqpb9z3) will do the job much better than an accelerometer, with a simple SPI interface that will integrate quickly with any microcontroller or microcomputer. We especially like that the SPI interface has CRC and error monitoring, important for critical installations. And for such a precise sensor, the price is very good as well! The sensor is available on an easy-to-use eval board (https://www.digikey.com/en/products/detail/murata-electronics/SCL3300-D01-PCB/11618562) if you want to start prototyping fast. Both sensor and eval board are in stock right now for immediate shipment from Digi-Key. Order today and you'll be inclinating (that's a word right?) by tomorrow afternoon.

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Accelerometer Harmonisation Methods (Pt2) - ProPASS Webinar - Prof. Ulf Ekelund and Dr Jakob Tarp

Play Episode Listen Later Feb 23, 2022 37:36

Part 2. This is audio from ProPASS ECR network webinar. In the third webinar (2nd December) we will hear from Prof. Ulf Ekelund and Dr Jakob Tarp on harmonisation methods. Pooling individual participant data from several research projects may not always be feasible. This talk will cover examples of meta-analyses/data harmonizations performed without transfer of original data. --- The Prospective Physical Activity, Sitting and Sleep consortium (ProPASS) ProPASS is an international research collaboration platform of cohorts using thigh-worn accelerometry to explore the effects of physical activity, posture, and sleep patterns on a wide range of health outcomes. The objectives of the consortium are: to establish a pooled data resource on physical activity, posture allocation, sleep, and health outcomes; to develop methods for processing, harmonising, and pooling data of existing such studies; to develop methods for collecting data for future studies (prospective harmonization); The ultimate goal of the ProPASS consortium as a data resource is to promote collaborative individual participant and prospective meta-analyses on physical activity, posture, and sleep.

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Accelerometer Harmonisation Methods (Pt1) - ProPASS Webinar - Prof. Ulf Ekelund and Dr Jakob Tarp

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Play Episode Listen Later Feb 16, 2022 25:29

Accelerometer Harmonisation Methods (Pt1) - ProPASS Webinar - Prof. Ulf Ekelund and Dr Jakob Tarp Part 1. This is audio from ProPASS ECR network webinar. In the third webinar (2nd December) we will hear from Prof. Ulf Ekelund and Dr Jakob Tarp on harmonisation methods. Pooling individual participant data from several research projects may not always be feasible. This talk will cover examples of meta-analyses/data harmonizations performed without transfer of original data. --- The Prospective Physical Activity, Sitting and Sleep consortium (ProPASS) ProPASS is an international research collaboration platform of cohorts using thigh-worn accelerometry to explore the effects of physical activity, posture, and sleep patterns on a wide range of health outcomes. The objectives of the consortium are: to establish a pooled data resource on physical activity, posture allocation, sleep, and health outcomes; to develop methods for processing, harmonising, and pooling data of existing such studies; to develop methods for collecting data for future studies (prospective harmonization); The ultimate goal of the ProPASS consortium as a data resource is to promote collaborative individual participant and prospective meta-analyses on physical activity, posture, and sleep.

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67: <iframe width="560" height="315" src="https://www.youtube.com/embed/eLsCnF2HL1Y" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; g

Gagging With Jason Lee

Play Episode Listen Later Feb 16, 2022 83:01

New Products 1/26/22 Feat. ADXL375 - High G Accelerometer (+-200g) w/ I2C & SPI - STEMMA QT /Qwiic!

Play Episode Listen Later Jan 27, 2022 13:21

EL Wire Sound Activated Pocket Inverter - 5V USB Power (0:09) https://www.adafruit.com/product/831 Da Share Zone NFT Men's S Tee + Accessories Bundle - Men Small (2:03) https://www.adafruit.com/product/5370 Da Share Zone NFT Men's M Tee + Accessories Bundle - Men's Medium (2:03) https://www.adafruit.com/product/5371 FGG.0B Quick Connect 5 Pin Plug - 9mm Outer Diameter (2:56) https://www.adafruit.com/product/5316 FGG.0B Quick Connect 5 Pin Panel Mount Socket - 9mm (2:56) https://www.adafruit.com/product/5317 FGG.0B Quick Connect 4 Pin Plug - 9mm Outer Diameter (2:56) https://www.adafruit.com/product/5318 FGG.0B Quick Connect 4 Pin Panel Mount Socket - 9mm (2:56) https://www.adafruit.com/product/5319 ESP32-S3-DevKitC-1 - ESP32-S3-WROOM-2 - 32MB Flash 8MB PSRAM (7:34) https://www.adafruit.com/product/5364 Alpha Single-Gang 16mm Right-angle PC Mount - 100K Reverse Audio - RV16AF-41-15R1-C100K-30H4 (8:52) https://www.adafruit.com/product/5261 Alpha Dual-Gang 16mm Right-angle PC Mount - 5K Audio - RV16A01F-41-15R1-A5K-30H4 (8:52) https://www.adafruit.com/product/5284?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 1K Audio - RV16A01F-41-15R1-A1K-30H4 (8:52) https://www.adafruit.com/product/5273?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 10K Audio - RV16A01F-41-15R1-A10K-30H4 (8:52) https://www.adafruit.com/product/5272?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 25K Audio - RV16A01F-41-15R1-A25K-30H4 (8:52) https://www.adafruit.com/product/5271?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 50K Audio - RV16A01F-41-15R1-50K-30H4 (8:52) https://www.adafruit.com/product/5270?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 500K Audio - RV16A01F-41-15R1-A500K-30H4 (8:52) https://www.adafruit.com/product/5267?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 250K Audio - RV16A01F-41-15R1-A250K-30H4 (8:52) https://www.adafruit.com/product/5268?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 100K Audio - RV16A01F-41-15R1-100K-30H4 (8:52) https://www.adafruit.com/product/5269?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 1M Audio - RV16A01F-41-15R1-A1M-30H4 (8:52) https://www.adafruit.com/product/5266?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ADXL375 - High G Accelerometer (+-200g) with I2C and SPI - STEMMA QT / Qwiic (10:16) https://www.adafruit.com/product/5374?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ---------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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New Products 1/26/22 Feat. ADXL375 - High G Accelerometer (+-200g) w/ I2C & SPI - STEMMA QT /Qwiic!

Play Episode Listen Later Jan 27, 2022 13:21

EL Wire Sound Activated Pocket Inverter - 5V USB Power (0:09) https://www.adafruit.com/product/831 Da Share Zone NFT Men's S Tee + Accessories Bundle - Men Small (2:03) https://www.adafruit.com/product/5370 Da Share Zone NFT Men's M Tee + Accessories Bundle - Men's Medium (2:03) https://www.adafruit.com/product/5371 FGG.0B Quick Connect 5 Pin Plug - 9mm Outer Diameter (2:56) https://www.adafruit.com/product/5316 FGG.0B Quick Connect 5 Pin Panel Mount Socket - 9mm (2:56) https://www.adafruit.com/product/5317 FGG.0B Quick Connect 4 Pin Plug - 9mm Outer Diameter (2:56) https://www.adafruit.com/product/5318 FGG.0B Quick Connect 4 Pin Panel Mount Socket - 9mm (2:56) https://www.adafruit.com/product/5319 ESP32-S3-DevKitC-1 - ESP32-S3-WROOM-2 - 32MB Flash 8MB PSRAM (7:34) https://www.adafruit.com/product/5364 Alpha Single-Gang 16mm Right-angle PC Mount - 100K Reverse Audio - RV16AF-41-15R1-C100K-30H4 (8:52) https://www.adafruit.com/product/5261 Alpha Dual-Gang 16mm Right-angle PC Mount - 5K Audio - RV16A01F-41-15R1-A5K-30H4 (8:52) https://www.adafruit.com/product/5284?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 1K Audio - RV16A01F-41-15R1-A1K-30H4 (8:52) https://www.adafruit.com/product/5273?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 10K Audio - RV16A01F-41-15R1-A10K-30H4 (8:52) https://www.adafruit.com/product/5272?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 25K Audio - RV16A01F-41-15R1-A25K-30H4 (8:52) https://www.adafruit.com/product/5271?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 50K Audio - RV16A01F-41-15R1-50K-30H4 (8:52) https://www.adafruit.com/product/5270?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 500K Audio - RV16A01F-41-15R1-A500K-30H4 (8:52) https://www.adafruit.com/product/5267?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 250K Audio - RV16A01F-41-15R1-A250K-30H4 (8:52) https://www.adafruit.com/product/5268?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 100K Audio - RV16A01F-41-15R1-100K-30H4 (8:52) https://www.adafruit.com/product/5269?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Alpha Dual-Gang 16mm Right-angle PC Mount - 1M Audio - RV16A01F-41-15R1-A1M-30H4 (8:52) https://www.adafruit.com/product/5266?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ADXL375 - High G Accelerometer (+-200g) with I2C and SPI - STEMMA QT / Qwiic (10:16) https://www.adafruit.com/product/5374?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ---------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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Accelerometer Specifications, Setting, Variables and Applications - CEO Kasper Lykkegaard (Pt4) - Bonus episode

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Play Episode Listen Later Dec 26, 2021 18:14

This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring Learn more about Fibion: fibion.com/research --- Collect, store and manage SB and PA data easily and remotely - Discover new Fibion SENS Motion: https://sens.fibion.com/

New Products 12/8/21 feat. Adafruit MSA311 Triple Axis Accelerometer - STEMMA QT / Qwiic!

Play Episode Listen Later Dec 10, 2021 7:22

Arduino UNO Mini Limited Edition (0:36) https://www.adafruit.com/product/5333?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts 0.05" Pitch Thru-Hole Female Socket Header 2x5 10-pin (2:40) https://www.adafruit.com/product/5327?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Programming the Pico: Learn Coding & Electronics w/ the Pico - by Simon Monk (3:37) https://www.adafruit.com/product/5320?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Electronics Kit for Programming the Pico by Simon Monk - Pico Not Included (3:55) https://www.adafruit.com/product/5321?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Meditation Chanting Prayer Speaker Box (4:42) https://www.adafruit.com/product/5304?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit MSA311 Triple Axis Accelerometer - STEMMA QT / Qwiic (6:07) https://www.adafruit.com/product/5309?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts -------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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New Products 12/8/21 feat. Adafruit MSA311 Triple Axis Accelerometer - STEMMA QT / Qwiic!

Play Episode Listen Later Dec 10, 2021 7:22

Arduino UNO Mini Limited Edition (0:36) https://www.adafruit.com/product/5333?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts 0.05" Pitch Thru-Hole Female Socket Header 2x5 10-pin (2:40) https://www.adafruit.com/product/5327?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Programming the Pico: Learn Coding & Electronics w/ the Pico - by Simon Monk (3:37) https://www.adafruit.com/product/5320?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Electronics Kit for Programming the Pico by Simon Monk - Pico Not Included (3:55) https://www.adafruit.com/product/5321?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Meditation Chanting Prayer Speaker Box (4:42) https://www.adafruit.com/product/5304?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit MSA311 Triple Axis Accelerometer - STEMMA QT / Qwiic (6:07) https://www.adafruit.com/product/5309?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts -------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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/Republication/ What Is the Best Wearing Location for an Accelerometer? Dr Alexander Montoye (Pt2)

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Play Episode Listen Later Dec 8, 2021 37:46

Part 2. Dr Alexander Montoye - Accelerometry | Machine learning | Sedentary behaviour Dr Alexander Montoye is working as an Assistant professor of Clinical Exercise Physiology at Alma College, Michigan, U.S. His main research area involves physical activity monitoring devices. He studies the accuracy and reliability of various physical activity monitors and also uses them as intervention tools to help individuals become more physically active. --- This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring Learn more about Fibion: fibion.com/research --- Collect, store and manage SB and PA data easily and remotely - Discover new Fibion SENS Motion: https://sens.fibion.com/

From Intelligent Credit Card to Cloud-based Accelerometer System - CEO Kasper Lykkegaard (Pt1) - Bonus episode

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Play Episode Listen Later Dec 4, 2021 22:40

This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring Learn more about Fibion: fibion.com/research --- Collect, store and manage SB and PA data easily and remotely - Discover new Fibion SENS Motion: https://sens.fibion.com/

So Facebook is using my iPhone's accelerometer to track my location, huh? Hard pass.

Not So Critical Update

Play Episode Listen Later Nov 9, 2021 14:49

You (hopefully) know the Facebook app is tracking usage data from your phone. But security researchers have found the Facebook app is collecting accelerometer data as well. Facebook can track your location even without GPS. https://www.forbes.com/sites/zakdoffman/2021/10/23/apple-iphone-users-delete-facebook-app-after-new-tracking-warning/?sh=180628be5930 Hosts: Peter Lowe (@pgl) Jon Cohen (@jonnisec) Mike Sutton (@zenmike)

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第818集：從 Sony Xperia Pro-I 看手機攝影的進化

HKPUG Podcast 派樂派對

Play Episode Listen Later Oct 27, 2021 97:46

0:00:00 – HKPUG 會訊 + 每週 IT 新聞 0:43:43 – Main Topic 本集全展：1:37:54 Tag: Facebook, Accelerometer, Snap, iOS App Tracking Transparency, WhatsApp, Apple AirPods 3, …

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The Great Search: High G Accelerometer Replacement for ADXL377

Play Episode Listen Later Sep 28, 2021 10:45

We carry all sorts of accelerometers in the Adafruit shop - for many folks, a +-2/4/8/16 or even 32g accelerometer is good enough for detecting motion and tilt. For some rocketry and robotics applications, there's +-100 and +-200g accelerometers available! Sadly, today we learned that the ADXL377 (https://www.adafruit.com/product/1413) is no longer going to be made due to the process being retired. Let's try to find a replacement! See on Digi-Key at https://www.digikey.com/short/pvhfhwzh Visit the Adafruit shop online - http://www.adafruit.com See more Desk of Ladyada on YouTube https://www.youtube.com/playlist?list=PLjF7R1fz_OOXUtaFu7-_D1UCugC8OecKv See other episodes of The Great Search https://www.youtube.com/playlist?list=PLjF7R1fz_OOVHqJN28IbXLBj1FKCxw-xD ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Adafruit on Instagram: https://www.instagram.com/adafruit Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/

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/Republication/ Which Accelerometer to Choose in Different Research Contexts? Dr David Dunstan

Play Episode Listen Later Sep 8, 2021 46:47

Highlights of the podcast - this is republication of episode published earlier. --- In this episode, we have Professor David Dunstan from the Baker Heart and Diabetes Institute in Melbourne. His research focuses on the role of physical activity and sedentary behaviour in relation to chronic diseases. --- This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring Learn more about Fibion: https://fibion.com/research ---

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The Best Accelerometer for Research in 2021 - How to Choose the Right Activity Tracker? Dr Olli Tikkanen

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Play Episode Listen Later Jun 13, 2021 70:47

This episode is an audio extract from Youtube video from Physical Activity Researcher Podcast Youtube channel: https://youtu.be/1X13fF4MD_c Timestamps: 0:00 Introduction 5:30 Activinsights 11:30 Actigraph 25:20 PAL Technologies (ActivPAL) 34:45 Axivity (Axivity AX3, Axivity AX6) 46:55 Fibion Inc. (Fibion Research) 1:04:50 Fibion Inc. (Fibion SENS Motion) Links: Learn more about Fibion Research: https://fibion.com/research/ Learn more about Fibion SENS Motion: https://sens.fibion.com/ *** Video description: This video goes through different accelerometer and activity tracking options for researchers. If you are a researcher who needs to track physical activity and/or sedentary behaviour this video should be valuable for you. We are going to look at different devices from many different manufacturers and their pros and cons. And it is not like one device would be the optimal device for all projects. Every project is different and there are many factors that determine what kind of device would be the best fit for your purposes. These factors include for example, who are your participants? Are they small kids whose wrist might be too small for big bulky devices? Are they elderly who might not be accustomed to use smart phone or even email? Do you need to provide participants feedback only after the intervention or already during the intervention? So, if you are doing projects which aim to behaviour change you possibly need to be able to give feedback right after the measurements. There are actually big differences related to this between different devices and this is something you might not remember to consider when focusing too much attention to specifications of the devices. One important factor is also, whether physical activity is main outcome variable in your study, or whether you just, for example, need to exclude that changes in physical activity did not influence your results. In the latter case, you might just want to have a device that just makes data collection and analysis as easy as possible. Do you need also accurate results related to sitting and sedentary behaviour? In that case, you want to consider a thigh-worn device as it is basically the only wearing position that can do posture allocation accurately. In general, wearing location is of crucial importance for any project. In my opinion, it comes down to compliance and accuracy. Many studies are using wrist-worn devices as people have been used to wearing watches, and a watch-like activity tracker is really easy to wrap around the wrist. So, it is easy, and compliance generally good. Then there are thigh-worn devices. Influential ProPass consortium is recommending thigh as a preferred location for accelerometers as it provides more accurate results than other wearing positions. This is straightforward as we are moving with our legs and not with our arms and in sitting vs standing thigh is changing its angle, which we can detect with a thigh-worn device. *** Glad to hear your opinions! What devices you are using in your research projects? What have been the pros and cons with those devices? What new features would you like to see in accelerometers/activity trackers?

E-Ink + WiFi display!

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Play Episode Listen Later Oct 20, 2020 0:58

This 2.9" grayscale E-paper display makes for a nice pairing with the ESP32-S2 WiFi module. Four buttons and 4 NeoPixels on the front (side lighting so it will illuminate the paper display!), and a whole party on the back. Accelerometer, speaker/buzzer, light sensor. Battery charger and lipo battery spot. USB C + on-off switch, plus a few low power hacks. Could make for a nice little wireless display that runs for a long time, we like that the EPD refreshes in under a second and is really crisp! Coming soon! We call our series of E-Ink displays, THINK INK https://adafruit.com/thinkink #adafruit #eink #thinkink Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Adafruit on Instagram: https://www.instagram.com/adafruit Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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108. Enfrentamos dos titanes IPhone X vs IPhone XR, una batalla épica

TecnoCode Live

Play Episode Listen Later Sep 23, 2020 41:31

TecnoCode+ Podcast, una herramienta más para ponerte al día en cuanto a noticias se refiere. Hola hola, qué tal gente. Acá estamos en una batallas épica donde se suben a la arena de los gladiadores dos grandes exponentes de la telefonía móvil. Todos se preguntan quién será el ganador de este combate, la lucha por la supremacía es diabólica IPhone X vs IPhone XR. ¿Quien será el ganador? Por aquí te dejamos parte de sus especificaciones para que te ayuden en la decisión a seguir: IPhone X Introduced: November 2017 Discontinued: September 2018 Initial Price: $999 (64 GB) $1,149 (256 GB) Colors: Space Gray, Silver Display: Super Retina HD OLED display Display Resolution: 2436-by-1125-pixel resolution Video Recording Formats: 4K video recording at 24 fps, 30 fps, or 60 fps, 1080p HD video recording at 30 fps or 60 fps, 720p HD video recording at 30 fps, Slo‑mo video support for 1080p at 120 fps or 240 fps Processor: Apple A11 Bionic Architecture: 64-bit Wi-Fi: 802.11a/b/g/n/ac with MIMO Bluetooth: Bluetooth 5.0 Camera: 2 - 12 megapixels with optical image stabilization (Back), 1 - 7 megapixels (TrueDepth) Sensors: Proximity, Ambient light, Three-axis gyro, Accelerometer, Barometer Battery Capacity: 2716 mAh Battery Life: Talk time (wireless): Up to 21 hours Internet use: Up to 12 hours Video playback (wireless): Up to 13 hours Audio playback (wireless): Up to 60 hours Water Resistance: IP67 under IEC standard 60529 IPhone X®️ Introduced: October 2018 Discontinued: -- Initial Price: $749 (64 GB) $799 (128 GB) $899 (256 GB) Colors: (PRODUCT) RED, Yellow, White, Coral, Black, Blue Display: Liquid Retina HD LED-backlit LCD display with IPS technology Video Recording Formats: 4K video recording at 24 fps, 30 fps, or 60 fps, 1080p HD video recording at 30 fps or 60 fps, 720p HD video recording at 30 fps Processor: Apple A12 Bionic Architecture: 64-bit Wi-Fi: 802.11a/b/g/n/ac with 2x2 MIMO Bluetooth: Bluetooth 5.0 Camera: 1 - 12 MP wide with optical image stabilization (Back), 1 - 7 MP (TrueDepth) Sensors: Proximity, Ambient light, Three-axis gyro, Accelerometer, Barometer Battery Capacity: 2942 mAh Battery Life: Talk time (wireless): Up to 25 hours Internet use: Up to 15 hours Video playback (wireless): Up to 16 hours Audio playback (wireless): Up to 65 hours Water Resistance: IP67 under IEC standard 60529 En este episodio contamos con la participación de: • Alberto Astiazarain • Yaisel Herrera • David Estupiñan Recuerda que puedes apoyarnos usando el siguiente enlace « https://anchor.fm/TecnoCodePlusPodcast/support » desde el cual podrás realizar donaciones desde 0.99ctvos hasta 9.99$ (Dólares). Síguenos en: Twitter y Telegram Suscríbete a nuestro canal en YouTube: https://www.youtube.com/channel/UC61c--wqRG_Lj3LPAeKn2Cw Suscríbete a nuestra "Página Web" http://tecnocodeplus.com/ de esta forma recibirás un Email cada vez que lancemos un nuevo artículo en nuestra página. ¡Gracias por escucharnos y apoyarnos! --- Send in a voice message: https://anchor.fm/tecnocodepluspodcast/message Support this podcast: https://anchor.fm/tecnocodepluspodcast/support

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Physical activity and aerobic fitness show different associations with brain processes underlying anticipatory selective visuospatial attention in adolescents

Play Episode Listen Later Jul 30, 2020

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.29.227181v1?rss=1 Authors: Hernandez Barros, D., Heinilä, E., Muotka, J., Ruotsalainen, I., Lapinkero, H. M., Syväoja, H., Tammelin, T. H., Parviainen, T. Abstract: Underlying brain processes of exercise-related benefits on executive functions and the specific contribution of physical activity vs. aerobic fitness are poorly understood, especially during adolescence. We explored whether and how physical activity and aerobic fitness are associated with selective attention and the oscillatory dynamics induced by an anticipatory spatial cue. Further, we studied whether the link between physical exercise level and cognitive control in adolescents is mediated by the task-related oscillatory activity. Magnetoencephalographic alpha oscillations during a modified Posner's cueing paradigm were measured in 59 adolescents (37 females and 22 males, 12 to 17 years). Accelerometer-measured physical activity and aerobic fitness (20-m shuttle run test) were used to divide the sample into higher and lower performing groups. The interhemispheric alpha asymmetry during selective attention was larger in the high than in the low physical activity group, but there was no difference between the high and low aerobic fitness groups. Exploratory mediation analysis suggested that anticipatory interhemispheric asymmetry mediates the association between physical activity status and drift rate in the selective attention task. Higher physical activity was related to increased cue-induced asymmetry, which in turn was associated with less efficient processing of information. Behaviorally, higher physically active males showed stronger dependence on the cue while higher fit females showed more efficient processing of information. Our findings suggest that physical activity may be associated with a neural marker of anticipatory attention in adolescents. These findings have implications for understanding the varying results on the association between physical activity and attention in adolescents. Copy rights belong to original authors. Visit the link for more info

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PS2J 306 News - Chip In'nt

Press Start To Join

Play Episode Listen Later Jun 26, 2020 60:00

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New Products 1/22/2020 Featuring ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA

Play Episode Listen Later Jan 22, 2020 0:15

HackSpace Magazine Issue #25 - Maker Christmas - December 2019 https://www.adafruit.com/product/4501?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit Circuit Playground Bluefruit + TFT Gizmo Project Pack https://www.adafruit.com/product/4504?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts NeoPixel Addressable 1515 LEDs (1.5mm x 1.5mm) - 10 pack - SK6805-E-J https://www.adafruit.com/product/4492?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit DPS310 Precision Barometric Pressure / Altitude Sensor - STEMMA QT / Qwiic https://www.adafruit.com/product/4494?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA QT / Qwiic https://www.adafruit.com/product/4502?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ----------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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New Products 1/22/2020 Featuring ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA

Play Episode Listen Later Jan 22, 2020 11:04

HackSpace Magazine Issue #25 - Maker Christmas - December 2019 https://www.adafruit.com/product/4501?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit Circuit Playground Bluefruit + TFT Gizmo Project Pack https://www.adafruit.com/product/4504?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts NeoPixel Addressable 1515 LEDs (1.5mm x 1.5mm) - 10 pack - SK6805-E-J https://www.adafruit.com/product/4492?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit DPS310 Precision Barometric Pressure / Altitude Sensor - STEMMA QT / Qwiic https://www.adafruit.com/product/4494?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA QT / Qwiic https://www.adafruit.com/product/4502?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ----------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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New Products 1/22/2020 Featuring ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA

Play Episode Listen Later Jan 22, 2020 1:27

HackSpace Magazine Issue #25 - Maker Christmas - December 2019 https://www.adafruit.com/product/4501?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit Circuit Playground Bluefruit + TFT Gizmo Project Pack https://www.adafruit.com/product/4504?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts NeoPixel Addressable 1515 LEDs (1.5mm x 1.5mm) - 10 pack - SK6805-E-J https://www.adafruit.com/product/4492?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit DPS310 Precision Barometric Pressure / Altitude Sensor - STEMMA QT / Qwiic https://www.adafruit.com/product/4494?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA QT / Qwiic https://www.adafruit.com/product/4502?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ----------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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New Products 1/22/2020 Featuring ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA

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Play Episode Listen Later Jan 22, 2020 11:04

HackSpace Magazine Issue #25 - Maker Christmas - December 2019 (0:20) https://www.adafruit.com/product/4501?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit Circuit Playground Bluefruit + TFT Gizmo Project Pack (1:26) https://www.adafruit.com/product/4504?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts NeoPixel Addressable 1515 LEDs (1.5mm x 1.5mm) - 10 pack - SK6805-E-J (2:07) https://www.adafruit.com/product/4492?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit DPS310 Precision Barometric Pressure / Altitude Sensor - STEMMA QT / Qwiic (4:15) https://www.adafruit.com/product/4494?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts Adafruit ISM330DHCX - 6 DoF IMU - Accelerometer and Gyroscope - STEMMA QT / Qwiic (6:02) https://www.adafruit.com/product/4502?utm_source=youtube&utm_medium=videodescrip&utm_campaign=newproducts ----------------------------------------- Shop for all of the newest Adafruit products: http://adafru.it/new Visit the Adafruit shop online - http://www.adafruit.com Adafruit on Instagram: https://www.instagram.com/adafruit LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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The Cutting Edge - Article 2 - A technique to half the time to onset to local anesthesia in disbudding

Operators To OWNERS

Play Episode Listen Later Jan 20, 2020 20:18

You can find a complete summary and link to this episodes research article at otovets.com/cuttingedge! Study Title: A new method of administering local anesthesia for calf disbudding: Findings from a comparative on-farm study in New Zealand Authors: Bates, Sutherland, Chapple, Dowling, Johnson, Saldias and Singh Objective: Describe and analyze efficacy of an alternative method for local anesthesia administration that uses local site infiltration of anesthetic over the horn bud. This study assessed differences between disbudding using the cornual nerve block and disbudding with local anesthesia administered by local site infiltration. Hypothesis: There would be no difference in the behavioral signs of pain and discomfort during disbudding and in the 3 h afterward and no difference in the lying and standing times in the 24 h after disbudding between calves disbudded under a cornual block and calves disbudded under the local infiltration block. Location: New Zealand Methods: We describe an alternative method of local anesthesia administration that uses local site infiltration of anesthetic over the horn bud. However, this method has not yet been scientifically validated. This study assessed differences between disbudding using the cornual nerve block and disbudding with local anesthesia administered by local site infiltration. Efficacy of local anesthesia was assessed at 30-s intervals after administration by absence of reaction to 3 consecutive needle pricks over the horn buds. Behavior indicating pain was assessed during disbudding and scored from 0 to 3. Calf behavior was also recorded for 3 h after disbudding. Accelerometer data loggers were fitted to each calf for 24 h before and after disbudding to assess lying and standing times. For more information about this research or it's results as well as other Cutting Edge episodes please visit the OTO website at otovets.com/cuttingedge or enjoy the relevant podcast episode at otovets.com/podcast!

MACHINE LEARNING MONDAY! Designing the Machine Learning board on the EDGE... BRAINCRAFT!

Play Episode Listen Later Jul 27, 2019 8:08

The idea behind the upcoming BRAINCRAFT board (stand-alone, and Pi "hat") is that you'd be able to "craft brains" for Machine Learning on the EDGE, with Microcontrollers. On ASK AN ENGINEER, our founder & engineer chatted with Pete Warden, the technical lead of the mobile, embedded TensorFlow Group on Google’s Brain team about what would be ideal for a board like this. What did we come up with? Here is a start! #machinelearning #tensorflow #ai https://blog.adafruit.com/2019/07/28/designing-the-machine-learning-board-on-the-edge-braincraft-tensorflow-adafruit-machinelearning-tinyml/ Inputs: Loads of sensors! Can be connected via stemmaQT. Image sensors, like a camera, Panasonic Grid-EYE. Heat-Sensitive camera, person detector. Microphone, voice detection for powering off. Accelerometer, gestures, vibration sensing, predictive maintenance. Outputs: Screen for debugging Speaker for audio feedback as to what is going on. Relay control to turn things on/off, etc. and/or actuator. Connectivity: NB / Narrowband IoT. Wireless flexibility. Works with adafruit.io, of course! Power: Battery powered / low-power. Solar add-ons, energy harvesting, OK with lots of power sources that are not reliable. On/off switch! Adafruit 2019 2300 Are we missing anything? Post up in the comments on what you want in a low-cost machine learning board! brAIncraft! Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Adafruit on Instagram: https://www.instagram.com/adafruit Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

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Designing the Machine Learning board on the EDGE... BRAINCRAFT!

Play Episode Listen Later Jul 26, 2019 6:43

The idea behind the upcoming BRAINCRAFT board (stand-alone, and Pi "hat") is that you'd be able to "craft brains" for Machine Learning on the EDGE, with Microcontrollers. On ASK AN ENGINEER, our founder & engineer chatted with Pete Warden, the technical lead of the mobile, embedded TensorFlow Group on Google’s Brain team about what would be ideal for a board like this. What did we come up with? Here is a start! #machinelearning #tensorflow #ai Inputs: Loads of sensors! Can be connected via stemmaQT. Image sensors, like a camera, Panasonic Grid-EYE. Heat-Sensitive camera, person detector. Microphone, voice detection for powering off. Accelerometer, gestures, vibration sensing, predictive maintenance. Outputs: Screen for debugging Speaker for audio feedback as to what is going on. Relay control to turn things on/off, etc. and/or actuator. Connectivity: NB / Narrowband IoT. Wireless flexibility. Works with adafruit.io, of course! Power: Battery powered / low-power. Solar add-ons, energy harvesting, OK with lots of power sources that are not reliable. Adafruit 2019 2300 Are we missing anything? Post up in the comments on what you want in a low-cost machine learning board! brAIncraft! Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Adafruit on Instagram: https://www.instagram.com/adafruit Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

google brain board designing solar pi machine learning microphones wireless relay microcontrollers adafruit accelerometer g hangouts on air braincraft adafruit learning system

Trying out the ultra-low cost (20 cents) MSA301 accelerometer with the Arduino plotter