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https://hdl.handle.net/20.500.14094/90007623
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2024-04-26
23:35 集計
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90007623 (fulltext)
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メタデータID
90007623
アクセス権
open access
出版タイプ
Version of Record
タイトル
Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing
著者
Chen, Sinan ; Saiki, Sachio ; Nakamura, Masahide
著者名
Chen, Sinan
著者ID
A1007
研究者ID
1000040549408
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/search/detail?systemId=78295aa3fb0cba7c520e17560c007669
著者名
Saiki, Sachio
佐伯, 幸郎
サイキ, サチオ
所属機関名
システム情報学研究科
著者ID
A0502
研究者ID
1000030324859
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/search/detail?systemId=7bc74ca646da8a7a520e17560c007669
著者名
Nakamura, Masahide
中村, 匡秀
ナカムラ, マサヒデ
所属機関名
システム情報学研究科
収録物名
Sensors
巻(号)
20(20)
ページ
5894-5894
出版者
MDPI
刊行日
2020-10
公開日
2020-11-26
抄録
In contrast to the physical activities of able-bodied people at home, most people who require long-term specific care (e.g., bedridden patients and patients who have difficulty walking) usually show more low-intensity slow physical activities with postural changes. Although the existing devices can detect data such as heart rate and the number of steps, they have been increasing the physical burden relying on long-term wearing. The purpose of this paper is to realize a noninvasive fine-grained home care monitoring system that is sustainable for people requiring special care. In the proposed method, we present a novel technique that integrates inexpensive camera devices and bone-based human sensing technologies to characterize the quality of in-home postural changes. We realize a local process in feature data acquisition once per second, which extends from a computer browser to Raspberry Pi. Our key idea is to regard the changes of the bounding box output by standalone pose estimation models in the shape and distance as the quality of the pose conversion, body movement, and positional changes. Furthermore, we use multiple servers to realize distributed processing that uploads data to implement home monitoring as a web service. Based on the experimental results, we conveyed our findings and advice to the subject that include where the daily living habits and the irregularity of home care timings needed improvement.
キーワード
home care monitoring
physical activity
human sensing
postural changes
pose estimation
pose conversion
body movement
positional changes
カテゴリ
システム情報学研究科
学術雑誌論文
権利
© 2020 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 (http://creativecommons.org/licenses/by/4.0/).
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資源タイプ
journal article
言語
English (英語)
eISSN
1424-8220
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関連情報
DOI
https://doi.org/10.3390/s20205894
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