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Preliminary Investigation of Skeleton-based Hand-washing Recognition Using Interaction Graph Between Two Hands
https://ipsj.ixsq.nii.ac.jp/records/229445
https://ipsj.ixsq.nii.ac.jp/records/2294457dda2aff-678c-4f35-aef2-ceb042b78c52
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-UBI23080023.pdf (3.2 MB)
2025年11月14日からダウンロード可能です。
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Copyright (c) 2023 by the Information Processing Society of Japan
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| 非会員：¥660, IPSJ:学会員：¥330, UBI:会員：¥0, DLIB:会員：¥0 | ||
| Item type | SIG Technical Reports(1) | |||||||||
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| 公開日 | 2023-11-14 | |||||||||
| タイトル | ||||||||||
| タイトル | Preliminary Investigation of Skeleton-based Hand-washing Recognition Using Interaction Graph Between Two Hands | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Preliminary Investigation of Skeleton-based Hand-washing Recognition Using Interaction Graph Between Two Hands | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 行動・状況認識 | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||||
| 資源タイプ | technical report | |||||||||
| 著者所属 | ||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||
| 著者所属 | ||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||
| 著者名 |
Yiqing, Zhang
× Yiqing, Zhang
× Takuya, Maekawa
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| 著者名(英) |
Yiqing, Zhang
× Yiqing, Zhang
× Takuya, Maekawa
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This study presents a new interaction graph-based method for skeleton-based hand-washing recognition. Washing hand is an important daily habit to keep healthy according to World Health Organization. Recognizing hand-washing action by cameras can guide people to wash hands correctly. Adopting Graph Convolution Network (GCN) is a popular method of skeleton-based action recognition. Compared to the other daily activities, hand-washing involves more interaction between two hands, which is not focused in previous studies. In this study, we propose and introduce various types of interaction graphs that capture interaction between both hands to recognize the hands efficiently based on GCN, and achieve improvement in the task. | |||||||||
| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This study presents a new interaction graph-based method for skeleton-based hand-washing recognition. Washing hand is an important daily habit to keep healthy according to World Health Organization. Recognizing hand-washing action by cameras can guide people to wash hands correctly. Adopting Graph Convolution Network (GCN) is a popular method of skeleton-based action recognition. Compared to the other daily activities, hand-washing involves more interaction between two hands, which is not focused in previous studies. In this study, we propose and introduce various types of interaction graphs that capture interaction between both hands to recognize the hands efficiently based on GCN, and achieve improvement in the task. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA11838947 | |||||||||
| 書誌情報 |
研究報告ユビキタスコンピューティングシステム（UBI） 巻 2023-UBI-80, 号 23, p. 1-8, 発行日 2023-11-14 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 2188-8698 | |||||||||
| Notice | ||||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||||
| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
