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Open AccessArticle

Inverse Piezoresistive Nanocomposite Sensors for Identifying Human Sitting Posture

1
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
2
SYSU-CMU Shunde International Joint Research Institute, Shunde, Foshan 528399, China
3
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(6), 1745; https://doi.org/10.3390/s18061745
Received: 24 April 2018 / Revised: 17 May 2018 / Accepted: 17 May 2018 / Published: 29 May 2018
(This article belongs to the Special Issue Sensor Applications in Medical Monitoring and Assistive Devices)
Sitting posture is the position in which one holds his/her body upright against gravity while sitting. Poor sitting posture is regarded as an aggravating factor for various diseases. In this paper, we present an inverse piezoresistive nanocomposite sensor, and related deciphering neural network, as a new tool to identify human sitting postures accurately. As a low power consumption device, the proposed tool has simple structure, and is easy to use. The strain gauge is attached to the back of the user to acquire sitting data. A three-layer BP neural network is employed to distinguish normal sitting posture, slight hunchback and severe hunchback according to the acquired data. Experimental results show that our method is both realizable and effective, achieving 98.75% posture identification accuracy. This successful application of inverse piezoresistive nanocomposite sensors reveals that the method could potentially be used for monitoring of diverse physiological parameters in the future. View Full-Text
Keywords: sitting posture; inverse piezoresistive nanocomposite sensor; strain gauge; BP neural network; posture identification sitting posture; inverse piezoresistive nanocomposite sensor; strain gauge; BP neural network; posture identification
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MDPI and ACS Style

Qian, Z.; Bowden, A.E.; Zhang, D.; Wan, J.; Liu, W.; Li, X.; Baradoy, D.; Fullwood, D.T. Inverse Piezoresistive Nanocomposite Sensors for Identifying Human Sitting Posture. Sensors 2018, 18, 1745.

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