NDLI: Detecting changes in motion characteristics during sports training

Content Provider	IEEE Xplore Digital Library
Author	Kulic, D. Venture, G. Nakamura, Y.
Copyright Year	2009
Description	Author affiliation: Department of Mechano-Informatics, University of Tokyo, Japan (Kulic, D.; Venture, G.) \|\| Department of Mechano-Informatics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656 Tokyo, Japan (Nakamura, Y.)
Abstract	This paper proposes a stochastic approach for representing and analyzing the gradual changes that occur in human movement during sports training. Human movement primitives are described using Factorial Hidden Markov Models, and compared using the Kullback-Liebler distance, a measure of information divergence between two models. This representation is combined with an automated segmentation and clustering approach to enable the system to autonomously extract and group together movement primitives from continuous observation of human movement data. The proposed system is tested on a human movement dataset obtained over 4 months during training for a marathon. Experimental results demonstrate that the system is able to detect gradual changes in the human movement.
Starting Page	4011
Ending Page	4014
File Size	563233
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333502
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion detection Hidden Markov models Stochastic processes Motion analysis Humans Data mining System testing Principal component analysis Power system modeling USA Councils
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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