Gait analysis system based on slippers with flexible piezoelectric sensors

Youngsu Cha, Kahye Song, Jisu Shin, Doik Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This study introduces a gait analysis system using a pair of slippers with flexible piezoelectric sensors. We install only one flexible sensor based on polyvinylidene fluoride, which is a flexible piezoelectric material, in each slipper. The flexible sensor is positioned in the slipper sole area under the inner arch of the foot. In this position, the sensor undergoes bending for walking, and generates electrical signals through the piezoelectric characteristic. We focus on the detection of the heel strike and toe-off moments from the sensor output. We then acquire the floor contract information of the slippers from the detection and extract eight gait parameters. We develop a gait analysis system including the sensing slippers, a sensing module for data collection and wireless communication, and an external computer with the data processing program. Moreover, we demonstrate that the proposed total gait analysis system based on the slippers with the flexible piezoelectric sensors works efficiently.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2479-2484
Number of pages6
ISBN (Electronic)9781728103761
DOIs
Publication statusPublished - 2018 Jul 2
Externally publishedYes
Event2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018 - Kuala Lumpur, Malaysia
Duration: 2018 Dec 122018 Dec 15

Publication series

Name2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018

Conference

Conference2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018
Country/TerritoryMalaysia
CityKuala Lumpur
Period18/12/1218/12/15

Keywords

  • flexible sensor
  • gait analysis
  • piezoelectric
  • slipper

ASJC Scopus subject areas

  • Biotechnology
  • Artificial Intelligence
  • Human-Computer Interaction

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