DocumentCode :
3117859
Title :
An Approach for Incorporating End User Knowledge into Applications of Information Extraction Classification and Fusion in Institutional Eldercare
Author :
Hsia, C.-C. ; Liou, K.J. ; Aung, A.P.W. ; Foo, S.F. ; Huang, Wei ; Biswas, J.
Author_Institution :
ICT-Enabled Healthcare Program, Ind. Technol. Res. Inst., Tainan, Taiwan
fYear :
2009
fDate :
14-16 Dec. 2009
Firstpage :
415
Lastpage :
420
Abstract :
Sensor-based smart spaces have been developed to help caring of the elderly. Selection of sensors, layout of smart space, design of fusion algorithms, and knowledge of domain experts are critical to the development of a useful ICT system for caring the elderly in the institutional facilities. We apply multi-modal sensor fusion technique to improve the confidence level of our system, and leverage the knowledge of domain experts, which is stored in ontology database, to detect the sequence of events that can lead to dangerous situations.
Keywords :
health care; information retrieval; ontologies (artificial intelligence); pattern classification; sensor fusion; ICT system; information extraction classification; information fusion; institutional eldercare; multimodal sensor fusion technique; ontology database; sensor-based smart spaces; Algorithm design and analysis; Data mining; Databases; Event detection; Intelligent sensors; Multimodal sensors; Ontologies; Senior citizens; Sensor fusion; Sensor systems; context representation; multi-modal data fusion; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5403-7
Type :
conf
DOI :
10.1109/I-SPAN.2009.17
Filename :
5381566
Link To Document :
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