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Smart insole: A wearable system for gait analysis

  • Wenyao Xu
  • , Ming Chun Huang
  • , Navid Amini
  • , Jason J. Liu
  • , Lei He Electrical
  • , Majid Sarrafzadeh
  • University of California at Los Angeles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

80 Scopus citations

Abstract

Gait analysis is an important medical diagnostic process and has many applications in rehabilitation, therapy and exercise training. However, standard human gait analysis has to be performed in a specific gait lab and operated by a medical professional. This traditional method increases the examination cost and decreases the accuracy of the natural gait model. In this paper, we present a novel portable system, called Smart Insole, to address the current issues. Smart Insole integrates low cost sensors and computes important gait features. In this way, patients or users can wear Smart Insole for gait analysis in daily life instead of participating in gait lab experiments for hours. With our proposed portable sensing system and effective feature extraction algorithm, the Smart Insole system enables precise gait analysis. Furthermore, taking advantage of the affordability and mobility of Smart Insole, pervasive gait analysis can be extended to many potential applications such as fall prevention, life behavior analysis and networked wireless health systems.

Original languageEnglish
Title of host publication5th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2012 - Conference Program
DOIs
StatePublished - 2012
Event5th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2012 - Heraklion, Crete, Greece
Duration: Jun 6 2012Jun 8 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2012
Country/TerritoryGreece
CityHeraklion, Crete
Period06/6/1206/8/12

Keywords

  • Gait Analysis
  • Wearable Device
  • Wireless Health

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