Performance Analysis of Time-Distance Gait Parameters under Different Speeds

This paper explores gait recognition for various walking speeds. Normal-constant speed is one of the assumptions being made in many current gait recognition techniques. However, some techniques do not scale well when certain gait conditions such as walking speed varies. We demonstrate the characteristics of time-distance gait parameters, stride length and cadence, with respect to walking speed at the inter-and intra-individual variation levels. The speed normalization or adjustment of gait features are studied and presented in details along with the expected recognition results. Our study of walking speed variations allows us to ascertain systematically the expected recognition-performance of time-distance gait parameters (stride length and cadence). In addition, we show the levels of measurement noise which can be tolerated in measuring these gait features without losing useful identity information.

[1]  W. Eric L. Grimson,et al.  Gait analysis for recognition and classification , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[2]  J. Little,et al.  Recognizing People by Their Gait: The Shape of Motion , 1998 .

[3]  Rawesak Tanawongsuwan,et al.  Characteristics of Time-Distance Gait Parameters Across Speeds , 2003 .

[4]  Aaron F. Bobick,et al.  Gait recognition from time-normalized joint-angle trajectories in the walking plane , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[5]  Stephanie R. Taylor,et al.  Analysis and recognition of walking movements , 2002, Object recognition supported by user interaction for service robots.

[6]  Larry S. Davis,et al.  Stride and cadence as a biometric in automatic person identification and verification , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[7]  N. A. Borghese,et al.  Kinematic determinants of human locomotion. , 1996, The Journal of physiology.

[8]  Robert T. Collins,et al.  Silhouette-based human identification from body shape and gait , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[9]  Aaron F. Bobick,et al.  A Multi-view Method for Gait Recognition Using Static Body Parameters , 2001, AVBPA.

[10]  R. Emmerik,et al.  Coordination patterns of walking and running at similar speed and stride frequency , 1999 .

[11]  Edward H. Adelson,et al.  Analyzing and recognizing walking figures in XYT , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Mark S. Nixon,et al.  Measuring Gait Signatures Which are Invariant to Their Trajectory , 1999 .

[13]  D. Kerrigan,et al.  Predicting peak kinematic and kinetic parameters from gait speed. , 2003, Gait & posture.

[14]  C Kirtley,et al.  Influence of walking speed on gait parameters. , 1985, Journal of biomedical engineering.

[15]  Chiraz Ben Abdelkader.  Stride and Cadence as a Biometric in Automatic Person Identification and Verification , 2002 .