Vision-Based Muscular Fatigue Detection for Safe Human-Robot Collaboration: Evaluation of a Pilot Study

Doreen Jirak, Giulia Belgiovine, Omar Eldardeer, Alessandra Sciutti, Francesco Rea

Abstract: As industrial automation progresses, collaborative human-robot interaction (cHRI) is becoming more prevalent, making it essential to understand the factors influencing these interactions. One key factor is physical human fatigue, which reduces muscular force capacity and impacts both productivity and safety. While recent research emphasizes wearable sensors for direct measurement, non-intrusive camera-based approaches remain underexplored, despite their potential for more natural fatigue tracking.

External IDs:doi:10.1007/978-981-96-3525-2_33