基于关节角度和主成分分析在螺帽拧紧和螺帽松开任务中提取独特的运动模式

To improve training for manual assembly and disassembly tasks, it is essential to characterize changes in workers’ movements with task repetition. This study analyzed repeated nut-tightening and nut-loosening tasks using optical motion capture data collected from five workers. Workload-related postures were assessed using rapid upper limb assessment (RULA), and movement coordination was examined through principal component analysis (PCA) of six joint angles. The results indicated that the RULA grand score varied little across trials and lacked sufficient sensitivity to detect subtle changes as