Abstract

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.

Highlights

  • Sitting may occupy up to half of an adult’s workday in developed countries and poor sitting posture has been linked with increased human health risks [1]

  • The negative effects on health caused by poor sitting posture affect patients’ physical health and working abilities, and bring serious financial burdens related to medical care [15]

  • Standard deviation, maximum, and minimum of the acquired signals and identified three distinct sitting posture patterns, i.e., normal posture, slight hunchback, and and identified three distinct sitting posture patterns, i.e., normal posture, slight hunchback, and severe severe hunchback

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Summary

Introduction

Sitting may occupy up to half of an adult’s workday in developed countries and poor sitting posture has been linked with increased human health risks [1]. Research shows chronic poor sitting posture has been correlated with spinal pain, poor spinal health and the risk of future spinal problems [2,3], as the unevenly increased pressure distribution may induce lumbar degeneration [4]. Many studies have shown that there is a close connection between poor sitting posture and the formation and development of musculoskeletal disorders [12,13,14]. The negative effects on health caused by poor sitting posture affect patients’ physical health and working abilities, and bring serious financial burdens related to medical care [15]. As more and more work in modern society has transitioned to an office environment, identifying and improving human sitting posture becomes critical

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