Exploratory factor analysis of gait recognition

Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of the effects of covariates on the recognition process. We show how these factors can separately affect the walking pattern. Further we assess the contribution and discriminatory significance of the gait dynamics used for recognition. Based on a covariate-based probe dataset of 440 samples, a high recognition rate of 73.4% is achieved using the KNN classifier. This is to confirm that people identification using dynamic gait features is still perceivable with better recognition rate even under the different covariate factors.

• Type: Conference
• Year: 2008
• Where: FGR
• Authors: Imed Bouchrika, Mark S. Nixon
• Keywords: Better Recognition Rate, Biometrics, FGR 2008, Little Formal Study, Recognition Rate