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A smart chair to monitor sitting posture by capacitive textile sensors

Authors :
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
Universitat Politècnica de Catalunya. RFLEX - Radio Frequency Identification and Flexible Electronics
Martínez Estrada, Marc
Vuohijoki, Tiina
Poberznik, Anja
Shaikh, Asif
Virkki, Johanna
Gil Galí, Ignacio
Fernández García, Raúl
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
Universitat Politècnica de Catalunya. RFLEX - Radio Frequency Identification and Flexible Electronics
Martínez Estrada, Marc
Vuohijoki, Tiina
Poberznik, Anja
Shaikh, Asif
Virkki, Johanna
Gil Galí, Ignacio
Fernández García, Raúl
Publication Year :
2023

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.<br />This work was supported by The Academy of Finland (decisions 332168 and 337861) and The Ministry of Education and Culture, Finland (Tekos project). Moreover, it was supported by the Agencia Estatal de Investigación under project PID2021-124288OB-I00 and AGAUR UPC (2020 FI-B 00028).<br />Peer Reviewed<br />Postprint (published version)

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1417302270
Document Type :
Electronic Resource