Physical Ergonomics Anticipation with Human Motion Prediction

Mattias Billast, Jonas De Bruyne, Klaas Bombeke, Tom De Schepper, Tom De Schepper, Kevin Mets

2024

Abstract

Good physical ergonomics is a crucial aspect of performing repetitive tasks sustainably for a long period. We developed a VR training environment that improves the ergonomics and experience of the user during a task. Through human motion prediction, we can predict the posture of the user accurately up to three seconds ahead of time. Based on this posture, a physical ergonomics score, called REBA (Hignett and McAtamney, 2000), is computed and can warn the user ahead of time to adapt their posture. We used the lightweight STS-GCN model (Sofianos et al., 2021) as it can infer predictions in real-time to give feedback to the users. We show in our experiments that using multi-task learning improves human motion prediction significantly. Our method is generally applicable for various manual tasks as almost all tasks can be simulated in a VR environment.

Paper Citation

in Harvard Style

Billast M., De Bruyne J., Bombeke K., De Schepper T. and Mets K. (2024). Physical Ergonomics Anticipation with Human Motion Prediction. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 539-548. DOI: 10.5220/0012392500003660

in Bibtex Style

@conference{visapp24,
author={Mattias Billast and Jonas De Bruyne and Klaas Bombeke and Tom De Schepper and Kevin Mets},
title={Physical Ergonomics Anticipation with Human Motion Prediction},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={539-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012392500003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Physical Ergonomics Anticipation with Human Motion Prediction
SN - 978-989-758-679-8
AU - Billast M.
AU - De Bruyne J.
AU - Bombeke K.
AU - De Schepper T.
AU - Mets K.
PY - 2024
SP - 539
EP - 548
DO - 10.5220/0012392500003660
PB - SciTePress