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Segmentation and feature extraction of human gait motion

de Boer, Nicholas, Abdi, Hamid, Fielding, Michael and Nahavandi, Saeid 2017, Segmentation and feature extraction of human gait motion, in DesTech 2016: Proceedings of the International Conference on Design and Technology, Knowledge E, Dubai, U.A.E., pp. 267-273, doi: 10.18502/keg.v2i2.625.

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Title Segmentation and feature extraction of human gait motion
Author(s) de Boer, Nicholas
Abdi, HamidORCID iD for Abdi, Hamid orcid.org/0000-0001-6597-7136
Fielding, MichaelORCID iD for Fielding, Michael orcid.org/0000-0001-7569-8499
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name Design and Technology. International Conference (2016 : Geelong, Victoria)
Conference location Geelong, Victoria
Conference dates 2016/12/05 - 2016/12/08
Title of proceedings DesTech 2016: Proceedings of the International Conference on Design and Technology
Editor(s) Collins, PaulORCID iD for Collins, Paul orcid.org/0000-0003-3308-8689
Gibson, IanORCID iD for Gibson, Ian orcid.org/0000-0002-4149-9122
Publication date 2017
Conference series Design and Technology International Conference
Start page 267
End page 273
Total pages 7
Publisher Knowledge E
Place of publication Dubai, U.A.E.
Keyword(s) human gait
simulation
gait analysis
biomechanics
feature extraction
Summary This paper presents segmentation and feature extraction of human gait motion. The methodology of this paper focuses on segmenting ‘XYZ’ position curves, in reference to time of gait motion based on the velocity or acceleration of the movement. The extracted features include amplitude, time, and equally spaced sample data, maximum and minimum for each segment. The results can be used for reconstruction of a viable dataset that is critical for simulation and validation of human gaits. We propose a method to enables the fitting of the same curve with limited data. Such data sets may prove valuable for studying impairments and improving simulations of rehabilitation tools, and statistical classification for researchers worldwide.
ISSN 2518-6841
Language eng
DOI 10.18502/keg.v2i2.625
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30104743

Document type: Conference Paper
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.