Abstract
The working remotely and online learning has known growth during the last year because of the COVID-19 pandemic spread worldwide. In fact, the remote workers and students remain sitting and slouching on their computers for long hours. Therefore, having a correct sitting posture over time is the greatest way to protect workers from the back pains according to the latest medical researches. In this paper, we present the architecture and design details of the proposed posture monitoring system. The aim of this study is to propose a tracking posture system with complete information about the back posture. The existing posture monitoring systems in literature are limited to trunk flexion monitoring. In this proposal we introduce the shoulder bent monitoring in addition to the trunk flexion monitoring in order to provide complete information about the back posture. The proposed posture monitoring system is a smart belt equipped by inertial sensors to detect the trunk flexion and a shoulder bent to monitor the posture over time. A Smartphone application is developed to notify the person in case of bad posture detection. The proposed system demonstrates encouraging results to monitor the posture over time of seating persons and improves their seating behavior by receiving a real time notification in case of bad posture detection.
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Acknowledgments
We are grateful for the support of the Department of Electrical and Computer Engineering at the New York University of Abu Dhabi (NYU). We would also like to thank SUP’COM’ students for their contribution to reaching these results.
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Tlili, F., Haddad, R., Bouallegue, R., Shubair, R. (2021). Shoulder and Trunk Posture Monitoring System Over Time for Seating Persons. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-030-75075-6_20
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