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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/11640

Title: Location-based concept in activity log ontology for activity recognition in smart home domain
Authors: Wongpatikaseree, Konlakorn
Ikeda, Mitsuru
Buranarach, Marut
Supnithi, Thepchai
Lim, Azman Osman
Tan, Yasuo
Keywords: activity recognition
activity log
location-based concept
description logic rules
semantic ontology search
Issue Date: 2012
Publisher: Springer
Magazine name: Lecture Notes in Computer Science
Volume: 7774
Start page: 326
End page: 331
DOI: 10.1007/978-3-642-37996-3_24
Abstract: Activity recognition plays an important role in several researches. Nevertheless, the existing researches suffer various kinds of problems when human has a different lifestyle. To address these shortcomings, this paper proposes the activity log in the context-aware infrastructure ontology in order to interlink the history user's context and current user's context. In this approach, the location-based concept is built into the activity log for producing the description logic (DL) rules. The relationship between activities in the same location is investigated for making the result of activity recognition more accurately. We also conduct the semantic ontology search (SOS) system for evaluating the effectiveness of our proposed ideas. The semantic data can be retrieved through SOS system, including, human activity and activity of daily living (ADL). The results from SOS system showed the advantage overcome the existing system when uses the location-based concept in activity log ontology.
Rights: This is the author-created version of Springer, Konlakorn Wongpatikaseree, Mitsuru Ikeda, Marut Buranarach, Thepchai Supnithi, Azman Osman Lim, and Yasuo Tan, Lecture Notes in Computer Science, 7774, 2012, 326-331. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-37996-3_24
URI: http://hdl.handle.net/10119/11640
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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