Paper Abstract and Keywords |
Presentation |
2015-05-14 14:00
Evaluation of a physical condition from gait motions using a depth sensor Toma Shimoyama, Tsuyoshi Higashiguchi, Norimichi Ukita, Masayuki Kanbara (NAIST), Norihiro Hagita (NAIST/ATR) SIP2015-6 IE2015-6 PRMU2015-6 MI2015-6 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes a physical motion evaluation system based on human pose sequences estimated by a depth sensor. While most similar systems measure and evaluate the motion only of a part of interest (i.e. knee), the proposed system comprehensively evaluates the motion of the entire body. With this system, we realize a system that observes a human motion in daily life for finding the sign of aging and physical disability. For daily use, we focus on walking motions.Walking motions with a variety of physical disabilities are recorded and modeled for classification purpose. This classification is achieved with a set of pose features extracted from walking motion sequences. In classification experiments, in which subjects motions were limited so that these motions were regarded as disable motions, the proposed features allow us to specify where a subject was injured with 81 % accuracy. Furthermore, given the injured body part, we also demonstrated that the proposed features can estimate the degree of injury. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Walking / Disorder identification / Human body pose / Depth sensor / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 24, PRMU2015-6, pp. 29-34, May 2015. |
Paper # |
PRMU2015-6 |
Date of Issue |
2015-05-07 (SIP, IE, PRMU, MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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SIP2015-6 IE2015-6 PRMU2015-6 MI2015-6 |
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