NDLI: Inertial-sensor-based walking action recognition using robust step detection and inter-class relationships

Content Provider	IEEE Xplore Digital Library
Author	Ngo Thanh Trung Makihara, Y. Nagahara, H. Mukaigawa, Y. Yagi, Y.
Copyright Year	2012
Description	Author affiliation: Osaka University, Japan (Ngo Thanh Trung; Makihara, Y.; Mukaigawa, Y.; Yagi, Y.) \|\| Kyushu University, Japan (Nagahara, H.)
Abstract	This paper tackles a challenging problem of inertial sensor-based recognition for similar walking action classes. We solve two remaining problems of existing methods in the case of walking actions: action signal segmentation and recognition of similar action classes. First, to robustly segment the walking action under drastic changes such as speed, intensity, or style, we rely on the likelihood of heel strike that is computed employing a scale-space technique. Second, to improve the classification performance with similar action classes, we incorporate the inter-class relationship. In experiments, the proposed algorithms were positively validated with 97 subjects and five similar walking action classes, namely walking on flat ground, up/down stairs, and up/down a slope.
Starting Page	3811
Ending Page	3814
File Size	962027
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Legged locomotion Vectors Support vector machines Feature extraction Humans Sensors Accelerometers
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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