Saiesh Deepak Prabhu

College of Engineering

2021 article

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.

By: L. Li n, S. Prabhu n, Z. Xie n, H. Wang n, L. Lu n & X. Xu n

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. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 27, 2021

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