Real-Time Ergonomic Risk Assessment Using Inertial Measurement Units: A Case Study in the Manufacturing Industry

This study presents a novel method utilizing wearable technology for ergonomic risk assessment, specifically targeting the mitigation of work-related musculoskeletal disorders (WMSDs) within industrial settings. It employs Inertial Measurement Units (IMUs) to capture and analyze joint angles in real time, with a detailed focus on the shoulder, elbow, and wrist during repetitive tasks. A significant advancement involves converting IMU data into a comprehensive 3D orientation model using quaternions, significantly aiding in visualizing limb movements and detecting potential ergonomic risks. A case study from the automotive industry highlights the importance of closely monitoring wrist movements to manage ergonomic risks effectively. By advancing the understanding of ergonomic risks and facilitating targeted interventions, this study contributes to integrating innovative solutions for improving productivity and worker well-being, in line with Industry 5.0 principles. Additionally, we propose future directions for integrating AI and machine learning to enhance predictive ergonomic risk assessment.