P-Ergonomics Platform: Toward Precise, Pervasive, and Personalized Ergonomics using Wearable Sensors and Edge...

Area of Science:

• Occupational Health
• Ergonomics
• Wearable Technology

Background:

• Musculoskeletal disorders (MSDs) are prevalent work-related health issues.
• Current MSD risk assessment methods rely on visual observation, lacking reliability and comprehensive coverage.
• Existing ergonomic assessments often overlook individual work techniques.

Purpose of the Study:

• To develop a precise and pervasive ergonomic platform for continuous risk assessment of MSDs.
• To enable real-time feedback for workers to support behavioral changes.
• To provide a scalable solution for small to large enterprises.

Main Methods:

• Utilizing wearable sensors to collect biomechanical data.
• Implementing a synchronized mobile computing layer for data processing and risk assessment.
• Deploying a cloud-based platform for data storage and analysis at individual and group levels.

Main Results:

• The platform enables continuous exposure statistics and risk assessments.
• Real-time feedback is provided to workers, facilitating behavioral adjustments.
• The cloud platform demonstrated flexibility and affordability for various enterprise sizes.
• Achieved a System Usability Scale score of 76.6, indicating acceptable usability.

Conclusions:

• The proposed platform offers a reliable and continuous method for MSD risk assessment.
• It supports personalized interventions and promotes improved work techniques.
• The system is scalable and user-friendly, suitable for diverse workplace settings.