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Development and Validation of a Wearable Inertial Sensors-Based Automated System for Assessing Work-Related
Chunxi Huang1, Woojoo Kim1, Yanxin Zhang2
1Human Factors and Ergonomics Laboratory, Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea.
Summary
A new wearable sensor system automates work-related musculoskeletal disorder (WMSD) risk assessments, improving worker safety. This technology offers a convenient and accurate method for evaluating WMSD risks in industrial settings.
Area of Science:
- Ergonomics and Occupational Health
- Wearable Technology
- Biomechanical Engineering
Background:
- Traditional work-related musculoskeletal disorder (WMSD) risk assessments are challenging in industrial settings due to dynamic tasks and data complexity.
- There is a need for convenient and accurate WMSD risk assessment tools to enhance workspace safety and worker well-being.
Purpose of the Study:
- To develop and validate a wearable inertial sensors-based automated system for WMSD risk assessment.
- To integrate postural (RULA/REBA) and biomechanical analyses into a comprehensive system.
- To provide a practical solution for improving occupational health in industrial environments.
Main Methods:
- Developed a system utilizing wearable inertial sensors to capture kinematic data.
- Automated postural ergonomic analysis (RULA/REBA) and 2D static biomechanical analysis within the system.
- Validated the system with 20 subjects performing heavy industry tasks.
Main Results:
- High consistency between system-derived RULA/REBA scores and expert ratings (ICC ≥0.83, accuracy >88%).
- Good agreement for low-back compression force between the developed and reference systems (MCC >0.89, error <9.5%).
- Demonstrated the system's effectiveness in assessing WMSD risks.
Conclusions:
- The wearable inertial sensors-based automated system provides an effective and convenient method for WMSD risk assessment.
- This technology can significantly enhance workspace safety and improve workers' health in industrial settings.
- The system offers a practical alternative to traditional, complex WMSD assessment methods.
