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A Real-time Posture Monitoring System Towards Bad Posture Detection

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Abstract

The neck and back pains are the most spread health problems of the century caused by remaining slouching for long hours on the smart phones, the tablets and the computers. Many medical researches prove that the monitoring and the improving of the seating posture can prevent the spinal pains. In this paper we propose a Real-time seating posture monitoring system. The system is composed of a smart belt equipped with inertial sensors. The sensors collect the posture information and send them to a cloud server via Wi-Fi connection. The cloud server processes the collected data, then, sends the result to mobile applications via Wi-Fi connection. The mobile applications allow the user to monitor his posture over time and receive in Real-time a sound and a visual notification in case of a bad posture detection. Two mobile applications Android and iOS are implemented that can be used for different mobile phone OS. In this work we will detail the design and the architecture of the proposed posture monitoring system and the implemented mobile applications. We will present the posture measurements of good and bad posture using the proposed posture monitoring system.

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Data Availability

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study. The material used for system implementation are available from the corresponding author upon reasonable request.

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Acknowledgements

We would like to thank the Higher School of Communication of Tunis students for their contribution to reach these results. Also we thank the Higher School of Communications of Tunis (SUP’COM) to provide us the equipments used for our system implementation.

Funding

This research was funded by the Higher School of Communications of Tunis (SUP’COM).

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Authors and Affiliations

  1. Laboratoire Innov’Com, Ecole Suprieure des communications de Tunis, Université de Carthage, Ariana, 2083, Tunisia

    Ferdews Tlili & Ridha Bouallegue

  2. Université Laval, Québec, Canada

    Rim Haddad

  3. Laboratoire de recherche en imagerie et orthopédie, TELUQ university, Montreal, Qc, Canada

    Neila Mezghani

Authors
  1. Ferdews Tlili
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  2. Rim Haddad
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  3. Ridha Bouallegue
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  4. Neila Mezghani
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Contributions

Ferdews Tlili studied the literature, designed the system architecture and drafted the manuscript. Rim Haddad participated to the system design and coordinated with the students of the Higher School of Communication of Tunis for system implementation. Ridha Bouallegue supervised all the study steps from design to implementation. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ferdews Tlili.

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The authors declare they have no financial interests.

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Tlili, F., Haddad, R., Bouallegue, R. et al. A Real-time Posture Monitoring System Towards Bad Posture Detection. Wireless Pers Commun 120, 1207–1227 (2021). https://doi.org/10.1007/s11277-021-08511-2

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  • DOI: https://doi.org/10.1007/s11277-021-08511-2

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