Gait verification using knee acceleration signals

Authors:
L. W. Hang;C. Y. Hong;C. W. Yen;D. J. Chang;M. L. Nagurka
Affiliations:
Sleep Medicine Center, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan and Department of Healthcare Administration, Asia University, Taichung, Taiwan;Department of Mechanical and Electro-mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan;Department of Mechanical and Electro-mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan;Department of Mechanical and Electro-mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan;Department of Mechanical Engineering, Marquette University Milwaukee, WI 53201, USA
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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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.