| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-02-04 |
| タイトル |
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|
タイトル |
Toward Recognizing Nursing Activity in Endotracheal Suctioning Using Video-based Pose Estimation |
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言語 |
en |
| 著者 |
Hoang, Anh Vy Ngo
Quynh, N Phuong Vu
Colley, Noriyo
Ninomiya, Shinji
Kanai, Satoshi
Komizunai, Shunsuke
Konno, Atsushi
Nakamura, Misuzu
井上, 創造
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| 著作権関連情報 |
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|
権利情報 |
Copyright (c) 2024 Author |
| 著作権関連情報 |
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|
権利情報Resource |
https://creativecommons.org/licenses/by/4.0/deed.ja |
|
権利情報 |
This article is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/deed.ja |
| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
In this paper, we propose using pose estimation extracted from videos to recognize the nurses’ activity when doing endotracheal suctioning. Endotracheal suctioning is a sophisticated method that is very invasive and may accompany risks for patients. As home healthcare becomes more prevalent, there is an urgent need for more certified individuals who can perform endotracheal suctioning. However, quantitative research on nurse care activity recognition in endotracheal suctioning is still limited. To address this issue, our study aims to recognize 9 suctioning activities from video recordings by extracting their pose estimation to classify activities. Because the videos were taken in a real-world environment, there are some obstacles to overcome such as people in the background, and nurses standing out of the frame. Therefore, post-processing needs to be applied after estimating the pose. After pose estimation, these key points are input for Random Forest model to classify activities. Our model achieved an accuracy of 54% and F1-score of 46%. |
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言語 |
en |
| 備考 |
|
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内容記述タイプ |
Other |
|
内容記述 |
5th International Conference on Activity and Behavior Computing, ABC2023, September 7 - 9, 2023, Kaiserslautern, Germany (Hybrid) |
|
言語 |
en |
| 書誌情報 |
en : International Journal of Activity and Behavior Computing
巻 2024,
号 1,
p. 1-20,
発行日 2024-05-01
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| 出版社 |
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出版者 |
九州工業大学ケアXDXセンター |
|
言語 |
ja |
| 言語 |
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|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.60401/ijabc.1 |
| ISSN |
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収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2759-2871 |
| 会議記述 |
|
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|
会議名 |
5th International Conference on Activity and Behavior Computing, ABC2023 |
|
|
言語 |
en |
|
回次 |
5 |
|
|
開始年 |
2023 |
|
|
開始月 |
09 |
|
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開始日 |
7 |
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終了年 |
2023 |
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終了月 |
09 |
|
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終了日 |
09 |
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開催国 |
DEU |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html |
| 論文ID（連携） |
|
|
値 |
10422666 |
| 連携ID |
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|
値 |
12696 |
10422666.pdf (4.2 MB)
