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一种通过电容式纺织传感器监测坐姿的智能椅子。

A Smart Chair to Monitor Sitting Posture by Capacitive Textile Sensors.

作者信息

Martínez-Estrada Marc, Vuohijoki Tiina, Poberznik Anja, Shaikh Asif, Virkki Johanna, Gil Ignacio, Fernández-García Raúl

机构信息

Departament of Electronic Engineering, Universitat Politecnica de Catalunya, ESEIAAT, Colom 1, 08222 Terrassa, Spain.

Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.

出版信息

Materials (Basel). 2023 Jul 5;16(13):4838. doi: 10.3390/ma16134838.

DOI:10.3390/ma16134838
PMID:37445152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10343373/
Abstract

In this paper, a smart office chair with movable textile sensors to monitor sitting position during the workday is presented. The system consists of a presence textile capacitive sensor with different levels of activation with a signal conditioning device. The proposed system was integrated into an office chair to detect postures that could provoke musculoskeletal disorders or discomfort. The microcontroller measured the capacitance by means of a cycle count method and provided the position information in real time. The information could be analysed to set up warnings to prevent incorrect postures or the necessity to move. Five participants assumed a series of postures, and the results showed the workability of the proposed smart chair. The chair can be provided as a new tool for companies, hospitals, or other institutions to detect incorrect postures and monitor the postures of people with reduced mobility. This tool can optimise control procedures or prevent occupational risks.

摘要

本文介绍了一种带有可移动纺织传感器的智能办公椅,用于在工作日监测坐姿。该系统由一个具有不同激活水平的存在纺织电容式传感器和一个信号调节装置组成。所提出的系统被集成到办公椅中,以检测可能引发肌肉骨骼疾病或不适的姿势。微控制器通过循环计数法测量电容,并实时提供位置信息。该信息可用于分析,以设置警告,防止不正确的姿势或提示移动的必要性。五名参与者摆出了一系列姿势,结果表明了所提出的智能椅的可行性。该椅子可为公司、医院或其他机构提供一种新工具,用于检测不正确的姿势并监测行动不便者的姿势。此工具可优化控制程序或预防职业风险。

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本文引用的文献

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A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders.基于深度学习的预防远程办公相关肌肉骨骼疾病的姿势检测系统。
Sensors (Basel). 2021 Aug 2;21(15):5236. doi: 10.3390/s21155236.
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Developing and Evaluating a Mixed Sensor Smart Chair System for Real-Time Posture Classification: Combining Pressure and Distance Sensors.开发和评估一种混合传感器智能椅系统,用于实时姿势分类:结合压力和距离传感器。
IEEE J Biomed Health Inform. 2021 May;25(5):1805-1813. doi: 10.1109/JBHI.2020.3030096. Epub 2021 May 11.
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