Gait verification using knee acceleration signals

L. W. Hang, C. Y. Hong, C. W. Yen, D. J. Chang, M. L. Nagurka

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A novel gait recognition method for biometric applications is proposed. The approach has the following distinct features. First, gait patterns are determined via knee acceleration signals, circumventing difficulties associated with conventional vision-based gait recognition methods. Second, an automatic procedure to extract gait features from acceleration signals is developed that employs a multiple-template classification method. Consequently, the proposed approach can adjust the sensitivity and specificity of the gait recognition system with great flexibility. Experimental results from 35 subjects demonstrate the potential of the approach for successful recognition. By setting sensitivity to be 0.95 and 0.90, the resulting specificity ranges from 1 to 0.783 and 1.00 to 0.945, respectively.

Original languageEnglish
Pages (from-to)14550-14554
Number of pages5
JournalExpert Systems with Applications
Volume38
Issue number12
DOIs
StatePublished - 1 Nov 2011
Externally publishedYes

Keywords

  • Biometrics
  • Gait analysis
  • Identity verification
  • Physiological signal processing

ASJC Scopus subject areas

  • Engineering (all)
  • Computer Science Applications
  • Artificial Intelligence

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