TY - GEN
T1 - An effective inference method 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 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.
AB - 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.
KW - Healthcare support system
KW - Ontology
KW - Sensor data
KW - Symbiotic computing
UR - http://www.scopus.com/inward/record.url?scp=77952306997&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952306997&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12189-0-14
DO - 10.1007/978-3-642-12189-0-14
M3 - Conference contribution
AN - SCOPUS:77952306997
SN - 3642121888
SN - 9783642121883
VL - 6019 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 152
EP - 163
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 2010 International Conference on Computational Science and Its Applications, ICCSA 2010
Y2 - 23 March 2010 through 26 March 2010
ER -