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Performance analysis of time-distance gait parameters under different speeds

  • College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

32 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJosef Kittler, Mark S. Nixon
PublisherSpringer Verlag
Pages715-724
Number of pages10
ISBN (Electronic)9783540403029
DOIs
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2688
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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