A real-time posture monitoring system towards bad posture detection [r-libre/2840]

Tlili, Ferdews; Haddad, Rim; Bouallegue, Ridha et Mezghani, Neila (2021). A real-time posture monitoring system towards bad posture detection. Wireless Personal Communications, 120, 1207-1227. https://doi.org/10.1007/s11277-021-08511-2

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Catégorie de document :	Articles de revues
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	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.
Adresse de la version officielle :	https://link.springer.com/article/10.1007/s11277-0...
Déposant:	Ayena, Johannes
Responsable :	Neila Mezghani
Dépôt :	16 janv. 2023 19:46
Dernière modification :	07 août 2024 19:18

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