AIMC Topic: Accelerometry

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Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jun 12, 2021
Monitoring cattle behaviour is core to the early detection of health and welfare issues and to optimise the fertility of large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms and h...
Neural Networks, Computer Animals United Kingdom Accelerometry Data Compression Cattle Eating
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Development and validation of smartwatch-based activity recognition models for rigging crew workers on cable logging operations.

PloS one May 12, 2021
Analysis of high-resolution inertial sensor and global navigation satellite system (GNSS) data collected by mobile and wearable devices is a relatively new methodology in forestry and safety research that provides opportunities for modeling work acti...
Humans Machine Learning Human Activities Idaho Wearable Electronic Devices Forestry Accelerometry
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Is machine learning and automatic classification of swimming data what unlocks the power of inertial measurement units in swimming?

Journal of sports sciences May 9, 2021
Researchers have heralded the power of inertial sensors as a reliable swimmer-centric monitoring technology, however, regular uptake of this technology has not become common practice. Twenty-six elite swimmers participated in this study. An IMU (100H...
Accelerometry Athletic Performance Swimming Humans Machine Learning Wearable Electronic Devices Healthy Volunteers
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Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data.

Sensors (Basel, Switzerland) Apr 13, 2021
Accelerometers are increasingly being used in biomedical research, but the analysis of accelerometry data is often complicated by both the massive size of the datasets and the collection of unwanted data from the process of delivery to study particip...
Accelerometry Machine Learning Exercise Humans Logistic Models Neural Networks, Computer
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Machine Learning Algorithms for Activity-Intensity Recognition Using Accelerometer Data.

Sensors (Basel, Switzerland) Feb 9, 2021
In pervasive healthcare monitoring, activity recognition is critical information for adequate management of the patient. Despite the great number of studies on this topic, a contextually relevant parameter that has received less attention is intensit...
Algorithms Support Vector Machine Accelerometry Humans Machine Learning
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An eight-camera fall detection system using human fall pattern recognition via machine learning by a low-cost android box.

Scientific reports Jan 28, 2021
Falls are a leading cause of unintentional injuries and can result in devastating disabilities and fatalities when left undetected and not treated in time. Current detection methods have one or more of the following problems: frequent battery replace...
Humans Machine Learning Activities of Daily Living Accelerometry Accidental Falls
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Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Wrist accelerometers for assessing hallmark measures of physical activity (PA) are rapidly growing with the advent of smartwatch technology. Given the growing popularity of wrist-worn accelerometers, there needs to be a rigorous evaluation for recogn...
Energy Metabolism Accelerometry Male Young Adult Exercise Wrist Humans Adult Deep Learning Activities of Daily Living Female
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Can an inertial measurement unit (IMU) in combination with machine learning measure fast bowling speed and perceived intensity in cricket?

Journal of sports sciences Jan 22, 2021
This study examined whether an inertial measurement unit (IMU), in combination with machine learning, could accurately predict two indirect measures of bowling intensity through ball release speed (BRS) and perceived intensity zone (PIZ). One IMU was...
Athletic Injuries Cricket Sport Sports Equipment Perception Physical Phenomena Male Wearable Electronic Devices Athletic Performance Accelerometry Physical Exertion Young Adult Cross-Sectional Studies Biomechanical Phenomena Humans Machine Learning
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Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone.

Sensors (Basel, Switzerland) Dec 15, 2020
Activity recognition can provide useful information about an older individual's activity level and encourage older people to become more active to live longer in good health. This study aimed to develop an activity recognition algorithm for smartphon...
Humans Neural Networks, Computer Aged Deep Learning Accelerometry Smartphone Aged, 80 and over Walking Male
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Assessment of Machine Learning Models to Identify Port Jackson Shark Behaviours Using Tri-Axial Accelerometers.

Sensors (Basel, Switzerland) Dec 11, 2020
Movement ecology has traditionally focused on the movements of animals over large time scales, but, with advancements in sensor technology, the focus can become increasingly fine scale. Accelerometers are commonly applied to quantify animal behaviour...
Behavior, Animal Accelerometry Sharks Machine Learning Animals Support Vector Machine Neural Networks, Computer
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