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

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

doi:10.1007/978-3-642-12189-0-14

An effective inference method 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

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	152-163
Number of pages	12
Volume	6019 LNCS
Edition	PART 4
DOIs	https://doi.org/10.1007/978-3-642-12189-0-14
Publication status	Published - 2010
Event	2010 International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka Duration: 2010 Mar 23 → 2010 Mar 26

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 4
Volume	6019 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	2010 International Conference on Computational Science and Its Applications, ICCSA 2010
City	Fukuoka
Period	10/3/23 → 10/3/26

Keywords

Healthcare support system
Ontology
Sensor data
Symbiotic computing

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-12189-0-14

Cite this

Izumi, S., Kobayashi, Y., Takahashi, H., Suganuma, T., Kinoshita, T., & Shiratori, N. (2010). An effective inference method using sensor data for symbiotic healthcare support system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 4 ed., Vol. 6019 LNCS, pp. 152-163). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6019 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-12189-0-14

An effective inference method using sensor data for symbiotic healthcare support system. / Izumi, Satoru; Kobayashi, Yusuke; Takahashi, Hideyuki et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6019 LNCS PART 4. ed. 2010. p. 152-163 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6019 LNCS, No. PART 4).

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

Izumi, S, Kobayashi, Y, Takahashi, H, Suganuma, T, Kinoshita, T & Shiratori, N 2010, An effective inference method using sensor data for symbiotic healthcare support system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 edn, vol. 6019 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 6019 LNCS, pp. 152-163, 2010 International Conference on Computational Science and Its Applications, ICCSA 2010, Fukuoka, 10/3/23. https://doi.org/10.1007/978-3-642-12189-0-14

Izumi S, Kobayashi Y, Takahashi H, Suganuma T, Kinoshita T, Shiratori N. An effective inference method using sensor data for symbiotic healthcare support system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 ed. Vol. 6019 LNCS. 2010. p. 152-163. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). doi: 10.1007/978-3-642-12189-0-14

Izumi, Satoru ; Kobayashi, Yusuke ; Takahashi, Hideyuki et al. / An effective inference method using sensor data for symbiotic healthcare support system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6019 LNCS PART 4. ed. 2010. pp. 152-163 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).

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AU - Shiratori, Norio

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

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