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Author Arun Nandakumar, Manal Elhamri, Zain Shah, Kailash Manohara Selvan, Stephen Womack, Simon Carpenter |
| Abstract Risk assessments are a central part in Work-related Musculoskeletal Disorder (MSD) risk management. Wearable sensors integrated into workwear present a promising approach for industrial ergonomic risk assessment This paper has three objectives: first, we assess the accuracy and efficacy of a workwear-integrated sensor system in estimating the MSD risks comparing it to an optical measurement technique, secondly, we outline approaches for using the system for continuous MSD risk assessment using industry standard methods and a Cumulative Damage (CD) exposure metric based on Fatigue Failure Theory (FFT) and third, we demonstrate feasibility by applying the system and approach for assessing 3 manual-handling tasks within the rail industry. Results confirm that the system, and approach can enable a proactive and data-driven approach to MSD management. Key considerations necessary for the wider adoption are also presented. |
