Open access
2026
An AI-Powered Model for Automatic Real-Time Assessment of Seated Work Postures Using Rapid Upper Limb Assessment (RULA)
A learning-based approach for posture assessment is proposed that achieves high performance in neck score assessment, while the trunk, shoulder, and elbow scores were more sensitive to posture types and inter-subject differences in posture execution.
Xiaoyi Wang, C. Or
· AHFE International · 0 citations