Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks

Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks

Current methods for ergonomic assessment often use video-analysis to estimate wrist postures during occupational tasks. Wearable sensing and machine learning have the potential to automate this tedious task, and in doing so greatly extend the amount of data available to clinicians and researchers. A...

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Bibliographic Details
Main Authors: Calvin Young, Andrew Hamilton-Wright, Michele L. Oliver, Karen D. Gordon
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
posture estimation
convolutional neural networks
ergonomic assessment
inertial measurement units
Online Access:https://www.mdpi.com/1424-8220/23/2/942

Internet

https://www.mdpi.com/1424-8220/23/2/942

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