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ファイル | 記述 | サイズ | フォーマット | |
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transinf.2018EDP7146.pdf | 1.69 MB | Adobe PDF | 見る/開く |
タイトル: | Hotspot Modeling of Hand-machine Interaction Experiences from a Head-mounted RGB-D Camera |
著者: | Chen, Longfei Nakamura, Yuichi Kondo, Kazuaki Mayol-Cuevas, Walterio |
著者名の別形: | 中村, 裕一 近藤, 一晃 |
キーワード: | egocentric vision machine operation experiences hotspots RGB-D task modeling |
発行日: | 1-Feb-2019 |
出版者: | Institute of Electronics, Information and Communications Engineers (IEICE) |
誌名: | IEICE Transactions on Information and Systems |
巻: | E102-D |
号: | 2 |
開始ページ: | 319 |
終了ページ: | 330 |
抄録: | This paper presents an approach to analyze and model tasks of machines being operated. The executions of the tasks were captured through egocentric vision. Each task was decomposed into a sequence of physical hand-machine interactions, which are described with touch-based hotspots and interaction patterns. Modeling the tasks was achieved by integrating the experiences of multiple experts and using a hidden Markov model (HMM). Here, we present the results of more than 70 recorded egocentric experiences of the operation of a sewing machine. Our methods show good potential for the detection of hand-machine interactions and modeling of machine operation tasks. |
著作権等: | 許諾条件に基づいて掲載しています。 |
URI: | http://hdl.handle.net/2433/240836 |
DOI(出版社版): | 10.1587/transinf.2018EDP7146 |
関連リンク: | http://www.ieice.org/jpn/books/transaction.html |
出現コレクション: | 学術雑誌掲載論文等 |
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