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LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal

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1 Papers

Analysis of Postural Variability of Office Workers Using Inertial Sensors

Topics: Wearable Sensors and Systems; Detection and Identification; Pattern Recognition & Machine Learning for Biosignal Data

Authors: Fábio Mendes ¹ , Phillip Probst ¹ , Eduarda Oliosi ^{1

;

2} , Luís Silva ¹ , Cátia Cepeda ¹ and Hugo Gamboa ¹

Affiliations: ¹ LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal , ² Faculty of Sports of the University of Porto, Porto, Portugal

Digital Object Identifier: 10.5220/0011688500003414

Proceedings of BIOSIGNALS 2023/BIOSTEC, ISBN: 978-989-758-631-6

Quick Abstract

Musculoskeletal disorders significantly impact workers in terms of quality of life, result in low organisational productivity, and high insurance costs in society. Postural changes have been suggested as a prerequisite to prevent musculoskeletal disorders. This paper examines the differences in postural changes of forty office workers in a real working environment using a smartphone’s inertial sensors. Through these data, several variables considered to characterise postural changes while sitting were extracted. Features based on the number of changes and different postures, time spent and distance covered within a posture showed significant differences in both time of the day (morning and afternoon) and day of the week (start and end of the week). These results confirm that accumulated working time influences a person’s postural changes and could have a potential use for worker’s ergonomic occupational risk evaluation.