An effective inference method using sensor data for symbiotic healthcare support system

Authors:
Satoru Izumi;Yusuke Kobayashi;Hideyuki Takahashi;Takuo Suganuma;Tetsuo Kinoshita;Norio Shiratori
Affiliations:
Research Institute of Electrical Communication, Tohoku University;Research Institute of Electrical Communication, Tohoku University;Research Institute of Electrical Communication, Tohoku University;Research Institute of Electrical Communication, Tohoku University;Graduate School of Information Sciences, Tohoku University;Research Institute of Electrical Communication, Tohoku University
Venue:
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
Year:
2010

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Abstract

We have been investigating a symbiotic healthcare support system in ubiquitous computing environment. By using knowledge about healthcare and various kinds of information including vital sign, location information, and multimedia data of multiple object persons under observation of real world, the system provides useful information regarding health condition effectively and in user-oriented manner. This paper focuses on effective and real-time service provisioning using the information. The data and information including vital sign, location information, environmental information, multimedia data, specialized knowledge, etc. contain significant diverse aspects in both quantitative and qualitative. By using existing inference mechanisms, we cannot cope with these kinds of information and knowledge in real-time. In this work, we present an effective inference mechanism combining various kinds of sensor data and huge amount of knowledge on healthcare for providing healthcare information and services in real time.