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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
Pages	619-624
Number of pages	6
DOIs	https://doi.org/10.1109/COGINF.2010.5599833
Publication status	Published - 2010
Event	9th IEEE International Conference on Cognitive Informatics, ICCI 2010 - Beijing Duration: 2010 Jul 7 → 2010 Jul 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

Artificial Intelligence
Information Systems

Access to Document

10.1109/COGINF.2010.5599833

Cite this

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

@inproceedings{9719e9ef3a3944f788a316f4a0c8115e,

title = "A knowledge filtering scheme using sensor data for symbiotic healthcare support system",

abstract = "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.",

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",

language = "English",

isbn = "9781424480401",

pages = "619--624",

booktitle = "Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010",

note = "9th IEEE International Conference on Cognitive Informatics, ICCI 2010 ; Conference date: 07-07-2010 Through 09-07-2010",

}

TY - GEN

T1 - A knowledge filtering scheme using sensor data for symbiotic healthcare support system

AU - Izumi, Satoru

AU - Kobayashi, Yusuke

AU - Takahashi, Hideyuki

AU - Suganuma, Takuo

AU - Kinoshita, Tetsuo

AU - Shiratori, Norio

PY - 2010

Y1 - 2010

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.

UR - http://www.scopus.com/inward/record.url?scp=78649901000&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649901000&partnerID=8YFLogxK

U2 - 10.1109/COGINF.2010.5599833

DO - 10.1109/COGINF.2010.5599833

M3 - Conference contribution

AN - SCOPUS:78649901000

SN - 9781424480401

SP - 619

EP - 624

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

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this