Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship

Kosuke Okusa; Toshinari Kamakura

doi:10.1007/978-3-319-40093-8_66

Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship

Kosuke Okusa, Toshinari Kamakura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We study the problem of analyzing and classifying frontal view gait video data. In this study, we focus on the shape scale changing in the frontal view human gait, we estimate scale parameters using the statistical registration and modeling on a video data. To demonstrate the effectiveness of our method, we apply our model to young and elderly, normal and pathological gait analysis. As a result, our model shows good performance for the scale estimation and gait analysis.

Original language	English
Title of host publication	Cross-Cultural Design - 8th International Conference, CCD 2016 and Held as Part of HCI International 2016, Proceedings
Editors	Pei-Luen Patrick Rau
Publisher	Springer Verlag
Pages	668-678
Number of pages	11
ISBN (Print)	9783319400921
DOIs	https://doi.org/10.1007/978-3-319-40093-8_66
Publication status	Published - 2016
Event	8th International Conference on Cross-Cultural Design, CCD 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada Duration: Jul 17 2016 → Jul 22 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9741
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	8th International Conference on Cross-Cultural Design, CCD 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
Country/Territory	Canada
City	Toronto
Period	7/17/16 → 7/22/16

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-40093-8_66

Cite this

Okusa, K., & Kamakura, T. (2016). Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship. In P-L. P. Rau (Ed.), Cross-Cultural Design - 8th International Conference, CCD 2016 and Held as Part of HCI International 2016, Proceedings (pp. 668-678). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9741). Springer Verlag. https://doi.org/10.1007/978-3-319-40093-8_66

Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship. / Okusa, Kosuke; Kamakura, Toshinari.
Cross-Cultural Design - 8th International Conference, CCD 2016 and Held as Part of HCI International 2016, Proceedings. ed. / Pei-Luen Patrick Rau. Springer Verlag, 2016. p. 668-678 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9741).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Okusa, K & Kamakura, T 2016, Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship. in P-LP Rau (ed.), Cross-Cultural Design - 8th International Conference, CCD 2016 and Held as Part of HCI International 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9741, Springer Verlag, pp. 668-678, 8th International Conference on Cross-Cultural Design, CCD 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016, Toronto, Canada, 7/17/16. https://doi.org/10.1007/978-3-319-40093-8_66

Okusa K, Kamakura T. Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship. In Rau P-LP, editor, Cross-Cultural Design - 8th International Conference, CCD 2016 and Held as Part of HCI International 2016, Proceedings. Springer Verlag. 2016. p. 668-678. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-40093-8_66

Okusa, Kosuke ; Kamakura, Toshinari. / Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship. Cross-Cultural Design - 8th International Conference, CCD 2016 and Held as Part of HCI International 2016, Proceedings. editor / Pei-Luen Patrick Rau. Springer Verlag, 2016. pp. 668-678 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Young and elderly, normal and pathological gait analysis using frontal view gait video data based on the statistical registration of spatiotemporal relationship

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