DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Hyungjeong | ko |
dc.contributor.author | An, Ji Hoon | ko |
dc.contributor.author | Hong, In Taek | ko |
dc.contributor.author | Lee, Young Hee | ko |
dc.date.accessioned | 2016-05-12T03:47:28Z | - |
dc.date.available | 2016-05-12T03:47:28Z | - |
dc.date.created | 2016-02-22 | - |
dc.date.created | 2016-02-22 | - |
dc.date.issued | 2015-05-18 | - |
dc.identifier.citation | 1st Workshop on IoT Challenges in Mobile and Industrial Systems, IoT-Sys 2015, pp.13 - 18 | - |
dc.identifier.uri | http://hdl.handle.net/10203/207286 | - |
dc.description.abstract | Recently, human activity recognition and prediction have become important functionalities in ambient-assisted living. Activity inference algorithms detect what task a human undertakes, by analyzing the data stream pattern generated from various Internet of Things (IoT) devices. However, determining how the data stream should be segmented in real-time, referred to as data segmentation, remains as one of the most difficult challenges. In this paper, we propose an automatic data segmentation approach for real-time activity prediction by employing the Jaro-Winkler Distance measurement. Our approach selects a breakpoint of a stream by comparing the Jaro-Winkler distance between the training dataset and the data stream and finding a peak among the variations. The resultant segment also becomes new training data after being tagged; this removes the need to segment the stream data manually for humans. From the experiment based on MIT's smart home dataset collected from a real living environment, our approach shows reasonable performance of 76% accuracy even though the dataset size is relatively diminutive. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Automatic Sensor Data Stream Segmentation for Real-time Activity Prediction in Smart Spaces | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-84958701094 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 13 | - |
dc.citation.endingpage | 18 | - |
dc.citation.publicationname | 1st Workshop on IoT Challenges in Mobile and Industrial Systems, IoT-Sys 2015 | - |
dc.identifier.conferencecountry | IT | - |
dc.identifier.conferencelocation | Fortezza da Basso, Florenc | - |
dc.identifier.doi | 10.1145/2753476.2753484 | - |
dc.contributor.localauthor | Lee, Young Hee | - |
dc.contributor.nonIdAuthor | Cho, Hyungjeong | - |
dc.contributor.nonIdAuthor | Hong, In Taek | - |
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