Instrumented Office Chair With Low-Cost Plastic Optical Fiber Sensors for Posture Control and Work Conditions Optimization

被引:9
|
作者
Tavares, Catia [1 ,2 ,3 ,4 ]
Silva, Joao Oliveira E. [5 ]
Mendes, Andre [5 ]
Rebolo, Leonor [1 ,2 ]
Domingues, Maria De Fatima [3 ,4 ]
Alberto, Nelia [3 ,4 ]
Lima, Mario [3 ,4 ,5 ]
Silva, Hugo Placido [6 ,7 ]
Da Costa Antunes, Paulo Fernando [1 ,2 ,3 ,4 ]
机构
[1] Univ Aveiro, Dept Phys, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[2] Univ Aveiro, I3N, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[3] Inst Telecomunicacoes, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[4] Univ Aveiro, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[5] Dept Elect Telecommun & Informat, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[6] Univ Lisbon, Inst Telecomunicacoes, Inst Super Tecn, P-1049001 Lisbon, Portugal
[7] PLUX Wireless Biosignals SA, P-1050059 Lisbon, Portugal
关键词
Sensors; Optical fibers; Optical fiber sensors; Resins; Optical attenuators; Optical amplifiers; Optical feedback; Pressure sensors; plastic optical fiber; work conditions; ergonomic posture;
D O I
10.1109/ACCESS.2022.3185624
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
People spend more and more time sitting and this habit has been shown to cause spine pathologies. Thus, the scientific community and the industry have become interested in instrumented chairs development to detect incorrect user postures. In this work we present the development and implementation of invisibles and non-intrusive plastic optical fiber sensor cells to monitor the posture and evaluate the ergonomic behavior of a seated person. The low-cost plastic optical fiber (POF) based sensing devices developed in this work, were implemented in an office chair, to evaluate the workers posture throughout their work day. In addition to the sensors, Android and PC software applications were developed, to provide real time feedback and alerts to the user whenever an inadequate posture is detected, or the seating position is the same for a long time. The proposed approach was evaluated in a study involving six users, and results show that it can detect the user's position with 96.6% accuracy.
引用
收藏
页码:69063 / 69071
页数:9
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