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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Detalles Bibliográficos
Autores principales: Young, Calvin, Hamilton-Wright, Andrew, Oliver, Michele L., Gordon, Karen D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865234/
https://www.ncbi.nlm.nih.gov/pubmed/36679747
http://dx.doi.org/10.3390/s23020942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865234/
https://www.ncbi.nlm.nih.gov/pubmed/36679747
http://dx.doi.org/10.3390/s23020942

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