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  1. 02 情報科学
  2. 01 学術雑誌論文

PATROL: Participatory Activity Tracking and Risk Assessment for Anonymous Elderly Monitoring

http://hdl.handle.net/10061/0002000638
http://hdl.handle.net/10061/0002000638
502a9037-756e-4680-8585-3de43017dbfb
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2024-10-22
タイトル
タイトル PATROL: Participatory Activity Tracking and Risk Assessment for Anonymous Elderly Monitoring
言語
言語 eng
キーワード
主題Scheme Other
主題 elderly monitoring
キーワード
主題Scheme Other
主題 successful aging
キーワード
主題Scheme Other
主題 mobile application
キーワード
主題Scheme Other
主題 gerontechnology
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 Dawadi, Research

× Dawadi, Research

en Dawadi, Research

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Mizumoto, Teruhiro

× Mizumoto, Teruhiro

en Mizumoto, Teruhiro

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松田, 裕貴

× 松田, 裕貴

WEKO 227
e-Rad_Researcher 90809708

ja 松田, 裕貴

ja-Kana マツダ, ユウキ

en Matsuda, Yuki

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安本, 慶一

× 安本, 慶一

WEKO 215
e-Rad_Researcher 40273396

ja 安本, 慶一

ja-Kana ヤスモト, ケイイチ

en Yasumoto, Keiichi

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抄録
内容記述タイプ Abstract
内容記述 There has been a subsequent increase in the number of elderly people living alone, with contribution from advancement in medicine and technology. However, hospitals and nursing homes are crowded, expensive, and uncomfortable, while personal caretakers are expensive and few in number. Home monitoring technologies are therefore on the rise. In this study, we propose an anonymous elderly monitoring system to track potential risks in everyday activities such as sleep, medication, shower, and food intake using a smartphone application. We design and implement an activity visualization and notification strategy method to identify risks easily and quickly. For evaluation, we added risky situations in an activity dataset from a real-life experiment with the elderly and conducted a user study using the proposed method and two other methods varying in visualization and notification techniques. With our proposed method, 75.2% of the risks were successfully identified, while 68.5% and 65.8% were identified with other methods. The average time taken to respond to notification was 176.46 min with the proposed method, compared to 201.42 and 176.9 min with other methods. Moreover, the interface analyzing and reporting time was also lower (28 s) in the proposed method compared to 38 and 54 s in other methods.
書誌情報 en : Sensors

巻 22, 号 18, 発行日 2022-09-14
出版者
出版者 MDPI
ISSN
収録物識別子タイプ EISSN
収録物識別子 1424-8220
出版者版DOI
関連タイプ isReplacedBy
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/s22186965
出版者版URI
関連タイプ isReplacedBy
識別子タイプ URI
関連識別子 https://www.mdpi.com/1424-8220/22/18/6965
権利
権利情報Resource https://creativecommons.org/licenses/by/4.0/
権利情報 $00A9 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
著者版フラグ
出版タイプ NA
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