Lifting Posture Prediction With Generative Models for Improving Occupational Safety
Li, L., Prabhu, S., Xie, Z., Wang, H., Lu, L., & Xu, X. (2021, August 24). IEEE Transactions on Human-Machine Systems, Vol. 51, pp. 494–503.
author keywords: Generative models; lifting tasks; neural networks; occupational injuries; posture prediction
topics (OpenAlex): Musculoskeletal pain and rehabilitation; Ergonomics and Musculoskeletal Disorders; Stroke Rehabilitation and Recovery
TL;DR:
The results prove that using a generative model to predict lifting posture prediction is able to predict postures with reasonable accuracy and validity and can support biomechanical analysis and ergonomics assessment of a lifting task to reduce the risk of low back injuries.
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Added: September 27, 2021