Gait analysis by using tri-axial accelerometer of smart phones

Guan Sheng Huang, Chao Cheng Wu, Jiannher Lin

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

1 Citation (Scopus)

Abstract

Gait has been one of important indicators for healthcare. Traditional methods were often confined in the laboratory and record actions of experimenters by using sophisticated instruments [1]. In 2005, the personal digital assistants (PDAs) is used to measurement and analysis by Mantyjarvi, J. et al.[2]. This manuscript further extends this idea by turning smart phones into gait measurement devices and took advantage of the embedded tri-axial accelerometer as measurement instrument. Three popular signal techniques included the Fourier Transform (FT), Short Time Fourier Transform (STFT), and Hilbert-Huang Transform (HHT) would be deployed to analyze the collected data. The experimental study indicated that HHT provide significant results for gait analysis and further demonstrated the utilities of the proposed methods, which made use of low end smart phone as the gait measurement tool.

Original languageEnglish
Title of host publicationICCH 2012 Proceedings - International Conference on Computerized Healthcare
PublisherIEEE Computer Society
Pages29-34
Number of pages6
ISBN (Print)9781467351294
DOIs
Publication statusPublished - Jan 1 2012
Event2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, China
Duration: Dec 17 2012Dec 18 2012

Conference

Conference2012 International Conference on Computerized Healthcare, ICCH 2012
CountryChina
CityHong Kong
Period12/17/1212/18/12

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Keywords

  • Fourier transform (FT)
  • Gait analysis
  • Hilbert-Hunag Transform (HHT)
  • Short time Fourier Transform (STFT)
  • smart phone
  • Tri-axial accelerometer

ASJC Scopus subject areas

  • Health Informatics

Cite this

Huang, G. S., Wu, C. C., & Lin, J. (2012). Gait analysis by using tri-axial accelerometer of smart phones. In ICCH 2012 Proceedings - International Conference on Computerized Healthcare (pp. 29-34). [6724466] IEEE Computer Society. https://doi.org/10.1109/ICCH.2012.6724466