Sitting posture detection system based on pressure sensors

Yimei Xu; Pengju He; Hongfei Hu

doi:10.1117/12.3037983

7 August 2024 Sitting posture detection system based on pressure sensors

Yimei Xu, Pengju He, Hongfei Hu

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132292D (2024) https://doi.org/10.1117/12.3037983
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

With the advancement of technology and social development, significant changes have occurred in people's production and lifestyle, with prolonged sedentary work and study becoming the norm for contemporary individuals. However, incorrect or irregular sitting postures for extended periods have increasingly severe health implications, affecting people's learning and work efficiency, and even leading to spinal diseases, causing inconvenience in daily life. The identification and monitoring of human postures have always been a research focus. The core of this system lies in the pressure array sensors embedded in the seat, which can real-time collect the force data on the chair surface and perform in-depth analysis through the algorithm embedded in the hardware system, accurately identifying the user's sitting posture. Once the system detects an improper sitting posture, it will immediately display relevant information and issue reminders to guide the user to adjust to a correct sitting posture. The system also features data uploading and cloud storage capabilities. By uploading the sitting posture recognition results to the cloud platform, users can conveniently check their prolonged sitting time and the cumulative time of various sitting postures through a mobile phone app. This function not only facilitates users to understand their sitting habits, but also plays a corrective and reminding role, helping users establish healthy sitting habits.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yimei Xu, Pengju He, and Hongfei Hu "Sitting posture detection system based on pressure sensors", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132292D (7 August 2024); https://doi.org/10.1117/12.3037983

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KEYWORDS

Sensors

Clouds

Detection and tracking algorithms

Design

Performance modeling

Machine learning

Computing systems

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