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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
Pages619-624
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 13
Event9th IEEE International Conference on Cognitive Informatics, ICCI 2010 - Beijing, China
Duration: 2010 Jul 72010 Jul 9

Publication series

NameProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010

Other

Other9th IEEE International Conference on Cognitive Informatics, ICCI 2010
Country/TerritoryChina
CityBeijing
Period10/7/710/7/9

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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