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言語種別	英語
発行・発表の年月	2019/05
形態種別	学術論文
査読	査読あり
標題	Human Posture Recognition for Estimation of Human Body Condition
執筆形態	共著
掲載誌名	Journal of Advanced Computational Intelligence and Intelligent Informatics
掲載区分	国外
出版社・発行元	Fuji Technology Press
巻・号・頁	23(3),pp.519-527
総ページ数	9
著者・共著者	Wei Quan, Jinseok Woo, Yuichiro Toda, and Naoyuki Kubota
概要	Human posture recognition has been a popular research topic since the development of the referent fields of human-robot interaction, and simulation operation. Most of these methods are based on supervised learning, and a large amount of training information is required to conduct an ideal assessment. In this study, we propose a solution to this by applying a number of unsupervised learning algorithms based on the forward kinematics model of the human skeleton. Next, we optimize the proposed method by integrating particle swarm optimization (PSO) for optimization. The advantage of the proposed method is no pre-training data is that required for human posture generation and recognition. We validate the method by conducting a series of experiments with human subjects.
外部リンクURL	https://www.fujipress.jp/jaciii/jc/jacii002300030519/