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 interand 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. © Springer-Verlag 2003.
CITATION STYLE
Tanawongsuwan, R., & Bobick, A. (2003). Performance analysis of time-distance gait parameters under different speeds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2688, 715–724. https://doi.org/10.1007/3-540-44887-x_83
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