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Omnidirectional and Size-Adaptive Soft Bending Sensor for Accurate Human Joint Motion Monitoring

  • Xian Song
  • , Akram Samy
  • , Qiang Yang
  • , Yangqiu Yang
  • , Liang Zhong
  • , Jianxiang Wang
  • , Zijian Zheng
  • , Yuxin Peng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Joint-related diseases can cause chronic symptoms and severe pain, which can be prevented and evaluated by accurate joint status monitoring. Soft strain sensors with high skin compatibility can detect strains from joint bending, making them a promising solution for joint health monitoring. Practically, over half of free-moving joints on the human body can perform omnidirectional bending, but current soft strain sensor cannot accurately quantify such angles. Moreover, strain-angle relations vary significantly with joint sizes, making sensor calibration difficult or unfeasible. Herein, this work designed and implemented an omnidirectional and size-adaptive soft bending sensor with a 3-D structure to capture pose angles for arbitrary joint bending. A dice manufacture-inspired procedure is proposed to precisely position four soft strain sensing channels. Moreover, by mathematically decoupling strain for deformation distributions, the sensor can calculate omnidirectional bending angles regardless of different joint sizes for the first time. The ability of the sensor was verified by mounting on three vulnerable joints for motion detection, thereby demonstrating its potential for reliable and accurate joint health monitoring.

Original languageEnglish
Pages (from-to)8069-8079
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume71
Issue number7
DOIs
Publication statusPublished - Jul 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Joint motion
  • omnidirectional
  • size-adaptive
  • soft sensor
  • strain sensor

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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