Document Type

Article

Language

eng

Publication Date

11-2011

Publisher

Elsevier

Source Publication

Expert Systems with Applications

Source ISSN

0957-4174

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.

Comments

Accepted version. Expert Systems with Applications, Vol. 38, No. 12 (November-December 2011): 14550-14554. DOI. © 2011 Elsevier B.V. Used with permission.

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