Analysis of Postural Variability of Office Workers Using Inertial Sensors

Fábio Mendes, Phillip Probst, Eduarda Oliosi, Eduarda Oliosi, Luís Silva, Cátia Cepeda, Hugo Gamboa

2023

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.

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Paper Citation


in Harvard Style

Mendes F., Probst P., Oliosi E., Silva L., Cepeda C. and Gamboa H. (2023). Analysis of Postural Variability of Office Workers Using Inertial Sensors. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS; ISBN 978-989-758-631-6, SciTePress, pages 273-280. DOI: 10.5220/0011688500003414


in Bibtex Style

@conference{biosignals23,
author={Fábio Mendes and Phillip Probst and Eduarda Oliosi and Luís Silva and Cátia Cepeda and Hugo Gamboa},
title={Analysis of Postural Variability of Office Workers Using Inertial Sensors},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS},
year={2023},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011688500003414},
isbn={978-989-758-631-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS
TI - Analysis of Postural Variability of Office Workers Using Inertial Sensors
SN - 978-989-758-631-6
AU - Mendes F.
AU - Probst P.
AU - Oliosi E.
AU - Silva L.
AU - Cepeda C.
AU - Gamboa H.
PY - 2023
SP - 273
EP - 280
DO - 10.5220/0011688500003414
PB - SciTePress