Fig. 1: Data-driven ergonomic risk assessment pipeline.
From: Data-driven ergonomic risk assessment of complex hand-intensive manufacturing processes
Data are collected from operators (a) performing hand-intensive manufacturing. Sensors (b) capture 3D hand and body pose, 2-axis wrist angles (flexion/extension and radial/ulnar deviation), and hand forces (bar height indicates pressure value). This multimodal sensor data enables quantitative ergonomic risk assessment (c) and serves as input for machine learning models (d) to predict risk.
