Exercise classification using CNN with image frames produced from time-series motion data

doi:info:doi:10.2991/jrnal.2017.4.1.5

Exercise classification using CNN with image frames produced from time-series motion data 利用統計を見る

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アイテムタイプ	学術雑誌論文 / Journal Article.
言語	英語
キーワード	CNN, Gray scale image, Exercises classification, Time-series data.
著者	ITOH Hajime HANAJIMA Naohiko ( 研究者リゾルバーID: 1000040261383 ) MURAOKA Yohei OHATA Makoto MIZUKAMI Masato FUJIHIRA Yoshinori
著者（別表記）	ITOH Hajime 花島直彦 ( 研究者リゾルバーID: 1000040261383 ) MURAOKA Yohei OHATA Makoto 水上雅人藤平祥孝
室蘭工業大学研究者データベースへのリンク	花島直彦（HANAJIMA Naohiko）水上雅人（MIZUKAMI Masato）藤平祥孝（FUJIHIRA Yoshinori）
抄録	Exercise support systems for the elderly have been developed and some were equipped with a motion sensor to evaluate their exercise motion. Normally, it provides three-dimensional time-series data of over 20 joints. In this study, we propose to apply Convolutional Neural Network (CNN) methodology to the motion evaluation. The method converts the motion data of one exercise interval into one gray scale image. From simulation results, the CNN was possible to classify the images into specified motions.
雑誌名	Journal of Robotics, Networking and Artificial Life
巻	4
号	1
ページ	18 - 21
発行年	2017-06
出版者	Atlantis Press.
出版者版へのリンク	10.2991/jrnal.2017.4.1.5
DOI	info:doi:10.2991/jrnal.2017.4.1.5
日本十進分類法	007
ISSN	2352-6386
権利	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
著者版フラグ	publisher
主となる版	https://www.atlantis-press.com/journals/jrnal/25878336
フォーマット	application/pdf

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Exercise classification using CNN with image frames produced from time-series motion data 利用統計を見る

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