AIMC Topic: Accelerometry

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Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer.

Sensors (Basel, Switzerland) Apr 8, 2022
Even though practicing sports has great health benefits, it also entails a risk of developing overuse injuries, which can elicit a negative impact on physical, mental, and financial health. Being able to predict the risk of an overuse injury arising ...
Cumulative Trauma Disorders Humans Machine Learning Female Male Accelerometry
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Association of Selective Serotonin Reuptake Inhibitor Use With Abnormal Physical Movement Patterns as Detected Using a Piezoelectric Accelerometer and Deep Learning in a Nationally Representative Sample of Noninstitutionalized Persons in the US.

JAMA network open Apr 1, 2022
IMPORTANCE: Selective serotonin reuptake inhibitors (SSRIs) are a common first-line treatment for some psychiatric disorders, including depression and anxiety; although they are generally well tolerated, SSRIs have known adverse effects, including mo...
Female Adult Humans Nutrition Surveys Cross-Sectional Studies Accelerometry Deep Learning Selective Serotonin Reuptake Inhibitors
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Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.

Scientific data Mar 25, 2022
The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During these activities, the mobile device may be positioned in different locations, including the pants pock...
Humans Machine Learning Activities of Daily Living Movement Portugal Automobile Driving Accelerometry
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A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology.

Sports biomechanics Jan 20, 2022
Greater understanding of differences in technique between runners may allow more beneficial feedback related to improving performance and decreasing injury risk. The purpose of this study was to develop and test a support vector machine classifier, w...
Running Acceleration Wearable Electronic Devices Support Vector Machine Accelerometry Upper Extremity Female Young Adult Biomechanical Phenomena Male Adult Humans
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Robust Human Activity Recognition by Integrating Image and Accelerometer Sensor Data Using Deep Fusion Network.

Sensors (Basel, Switzerland) Dec 28, 2021
Studies on deep-learning-based behavioral pattern recognition have recently received considerable attention. However, if there are insufficient data and the activity to be identified is changed, a robust deep learning model cannot be created. This wo...
Human Activities Databases, Factual Accelerometry Humans Neural Networks, Computer
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Deep Learning for Classifying Physical Activities from Accelerometer Data.

Sensors (Basel, Switzerland) Aug 18, 2021
Physical inactivity increases the risk of many adverse health conditions, including the world's major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening life expectancy. There are mini...
Accelerometry Humans Deep Learning Neural Networks, Computer Diabetes Mellitus, Type 2 Exercise
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Feature selection for unsupervised machine learning of accelerometer data physical activity clusters - A systematic review.

Gait & posture Aug 13, 2021
BACKGROUND: Identifying clusters of physical activity (PA) from accelerometer data is important to identify levels of sedentary behaviour and physical activity associated with risks of serious health conditions and time spent engaging in healthy PA. ...
Exercise Cluster Analysis Accelerometry Humans Unsupervised Machine Learning Sedentary Behavior
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Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study.

JMIR mHealth and uHealth Aug 4, 2021
BACKGROUND: Accurate solutions for the estimation of physical activity and energy expenditure at scale are needed for a range of medical and health research fields. Machine learning techniques show promise in research-grade accelerometers, and some e...
Energy Metabolism Accelerometry Calorimetry, Indirect Humans Algorithms Machine Learning Adult
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Quantifying finer-scale behaviours using self-organising maps (SOMs) to link accelerometery signatures with behavioural patterns in free-roaming terrestrial animals.

Scientific reports Jun 30, 2021
Collecting quantitative information on animal behaviours is difficult, especially from cryptic species or species that alter natural behaviours under observation. Using harness-mounted tri-axial accelerometers free-roaming domestic cats (Felis Catus)...
Supervised Machine Learning Cats Male Female Ecosystem Animals Behavior, Animal Accelerometry
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Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms.

Gait & posture Jun 24, 2021
PURPOSE: Machine-learning (ML) approaches have been repeatedly coupled with raw accelerometry to classify physical activity classes, but the features required to optimize their predictive performance are still unknown. Our aim was to identify appropr...
Support Vector Machine Machine Learning Humans Accelerometry Algorithms Neural Networks, Computer
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