A knowledge filtering scheme using sensor data for symbiotic healthcare support system

Satoru Izumi; Yusuke Kobayashi; Hideyuki Takahashi; Takuo Suganuma; Tetsuo Kinoshita; Norio Shiratori

doi:10.1109/COGINF.2010.5599833

A knowledge filtering scheme using sensor data for symbiotic healthcare support system

Satoru Izumi^*, Yusuke Kobayashi, Hideyuki Takahashi, Takuo Suganuma, Tetsuo Kinoshita, Norio Shiratori

^*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

We propose a knowledge filtering scheme using sensor data for symbiotic healthcare support system which manages health conditions of multiple persons effectively. This scheme extracts a manageable and needed portion from a huge amount of knowledge in the various perspectives related ubiquitous information environment for effective service provision. In this paper, we introduce the design of our proposed scheme and confirm its effectiveness from the experiments.

本文言語	English
ホスト出版物のタイトル	Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
ページ	619-624
ページ数	6
DOI	https://doi.org/10.1109/COGINF.2010.5599833
出版ステータス	Published - 2010
イベント	9th IEEE International Conference on Cognitive Informatics, ICCI 2010 - Beijing 継続期間: 2010 7月 7 → 2010 7月 9

Other

Other	9th IEEE International Conference on Cognitive Informatics, ICCI 2010
City	Beijing
Period	10/7/7 → 10/7/9

ASJC Scopus subject areas

人工知能
情報システム

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10.1109/COGINF.2010.5599833

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引用スタイル

Izumi, S, Kobayashi, Y, Takahashi, H, Suganuma, T, Kinoshita, T & Shiratori, N 2010, A knowledge filtering scheme using sensor data for symbiotic healthcare support system. in Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010., 5599833, pp. 619-624, 9th IEEE International Conference on Cognitive Informatics, ICCI 2010, Beijing, 10/7/7. https://doi.org/10.1109/COGINF.2010.5599833

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author = "Satoru Izumi and Yusuke Kobayashi and Hideyuki Takahashi and Takuo Suganuma and Tetsuo Kinoshita and Norio Shiratori",

year = "2010",

doi = "10.1109/COGINF.2010.5599833",

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AU - Izumi, Satoru

AU - Kobayashi, Yusuke

AU - Takahashi, Hideyuki

AU - Suganuma, Takuo

AU - Kinoshita, Tetsuo

AU - Shiratori, Norio

PY - 2010

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N2 - We propose a knowledge filtering scheme using sensor data for symbiotic healthcare support system which manages health conditions of multiple persons effectively. This scheme extracts a manageable and needed portion from a huge amount of knowledge in the various perspectives related ubiquitous information environment for effective service provision. In this paper, we introduce the design of our proposed scheme and confirm its effectiveness from the experiments.

AB - We propose a knowledge filtering scheme using sensor data for symbiotic healthcare support system which manages health conditions of multiple persons effectively. This scheme extracts a manageable and needed portion from a huge amount of knowledge in the various perspectives related ubiquitous information environment for effective service provision. In this paper, we introduce the design of our proposed scheme and confirm its effectiveness from the experiments.

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DO - 10.1109/COGINF.2010.5599833

M3 - Conference contribution

AN - SCOPUS:78649901000

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BT - Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010

T2 - 9th IEEE International Conference on Cognitive Informatics, ICCI 2010

Y2 - 7 July 2010 through 9 July 2010

ER -

A knowledge filtering scheme using sensor data for symbiotic healthcare support system

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