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  1. 研究報告
  2. ヒューマンコンピュータインタラクション(HCI)
  3. 2023
  4. 2023-HCI-205

Preliminary Investigation of Skeleton-based Hand-washing Recognition Using Interaction Graph Between Two Hands

https://ipsj.ixsq.nii.ac.jp/records/229389
https://ipsj.ixsq.nii.ac.jp/records/229389
3e08cfc9-6a62-44df-b062-eba0a7ef3262
名前 / ファイル ライセンス アクション
IPSJ-HCI23205023.pdf IPSJ-HCI23205023.pdf (3.2 MB)
 2025年11月14日からダウンロード可能です。
Copyright (c) 2023 by the Information Processing Society of Japan
非会員:¥660, IPSJ:学会員:¥330, HCI:会員:¥0, DLIB:会員:¥0
Item type SIG Technical Reports(1)
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

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Yiqing, Zhang

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Takuya, Maekawa

× Takuya, Maekawa

Takuya, Maekawa

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著者名(英) Yiqing, Zhang

× Yiqing, Zhang

en Yiqing, Zhang

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Takuya, Maekawa

× Takuya, Maekawa

en 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 AA1221543X
書誌情報 研究報告ヒューマンコンピュータインタラクション(HCI)

巻 2023-HCI-205, 号 23, p. 1-8, 発行日 2023-11-14
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8760
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
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