ATTI 81° CONGRESSO NAZIONALE SIML
24 February 2025
Vol. 40 No. 3 (2018)

Monitoring human activities that might cause work-related musculoskeletal disorders by means of inertial and magnetic sensors

Diabete e lavoro

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Activity recognition based on new wearable technologies is considered a key research challenge in the field of applied ergonomics. Deterioration of workers' physical health and loss of workdays impact not only on their wellbeing and quality of life, but also on European countries economy.
Musculoskeletal disorders are injuries or pain affecting muscles, joints and tendons. If these disorders are work related are described as Work related Muscoloskeletal Disorders (WMSDs). Inertial and magnetic sensor units (IMUs) might open new perspectives in detection and objective measure of WMSDs because they allow to collect data on work activities under free conditions and over extended periods of time. The evolution of technologies has observed not only improvement in measurement accuracy and precision, but also a reduction in intrusiveness and an enhanced fit of the measure technologies.

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Citations

1) The Health, Safety Executive Health and safety statistics 2017. URL http://www.hse.gov.uk/statistics/ 2) Valero E, Sivanathan A, Bosché F, et al. Musculoskeletal disorders in construction: a review and a novel system for activity tracking with body area network. Appl Ergon 2016; 54: 120-130. DOI: https://doi.org/10.1016/j.apergo.2015.11.020
3) Takala EP, Pehkonen I, Forsman M, et al. Systematic Evaluation of Observational Methods Assessment Biomechanical Exposures at Work. Scand J Work Environ Health 2010; 36(1): 3-24. DOI: https://doi.org/10.5271/sjweh.2876
4) Kemmlert K. A method assigned for the indentification of ergonomics hazards. PLIBEL Appl Ergon 1995; 26(3): 199-211. 5) Cutti AG, Ferrari A, Garofalo P, et al. Outwalk: A protocol for clinical gait analysis based on inertial and magnetic sensors. Med Biol Eng Comput 2010; 48:17-25. DOI: https://doi.org/10.1007/s11517-009-0545-x
6) Shanahan CJ, Boonstra FMC, Cofré Lizama LE, et al. Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis Front Neurol 2018; 8: 708. DOI: https://doi.org/10.3389/fneur.2017.00708
7) Wang D, Dai F, Ning X. Risk assessment of work-related musculoskeletal disorders in construction: state-of-the-art review. J Constr Eng Manag 2015; 141(6). DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000979
8) Lee W, Seto E, Lin KY. An evaluation of wearable sensors and their placements for analyzing construction worker's trunk posture in laboratory conditions. Applied Ergonomics 2017; 65: 424-436. de Vries WHK, Veeger HEJ, Baten CTM, et al. Magnetic Distortion in Motion Labs, Implications for Validating Inertial Magnetic Sensors. Gait Post 2009; 29(4): 535-541. DOI: https://doi.org/10.1016/j.gaitpost.2008.12.004
10) Schepers M, Giuberti M, Bellusci G, Xsens MVN. Consistent Tracking of HumanMotion Using Inertial Sensing. Xsens Whitepaper: URL https://content.xsens.com/mvn-whitepaper

How to Cite



Monitoring human activities that might cause work-related musculoskeletal disorders by means of inertial and magnetic sensors: Diabete e lavoro. (2025). Giornale Italiano Di Medicina Del Lavoro Ed Ergonomia, 40(3), 176-178. https://doi.org/10.4081/gimle.592