dc.citation.endPage |
15 |
- |
dc.citation.number |
2 |
- |
dc.citation.startPage |
1 |
- |
dc.citation.title |
ADVANCES IN INTELLIGENT AND SOFT COMPUTING |
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dc.citation.volume |
82 |
- |
dc.contributor.author |
Bien, Zeungnam |
- |
dc.contributor.author |
Lee, Sangwan |
- |
dc.date.accessioned |
2023-12-22T07:36:17Z |
- |
dc.date.available |
2023-12-22T07:36:17Z |
- |
dc.date.created |
2013-05-24 |
- |
dc.date.issued |
2010-01 |
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dc.description.abstract |
A growing proportion of the aged in population provokes shortage of caregivers and restructuring of living spaces. One of the most promising solutions is to provide with a smart home environment that ensures independence of users. In this paper, we first call attention to the fact that a learning capability of human behavior patterns can play a central role in adequate functioning of such systems. Specifically, we give an overview of important related studies to illustrate how a variety of learning functions can be successfully incorporated into the smart home environment. We then present our approaches towards the issues of life-long learning and non-supervised learning, which are considered essential aspects of a smart home system. The two learning schemes are shown to be satisfactory in facilitating independent living over different time scales and with less human intervention. Finally, we mention about a prospective model of a future smart home |
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dc.identifier.bibliographicCitation |
ADVANCES IN INTELLIGENT AND SOFT COMPUTING, v.82, no.2, pp.1 - 15 |
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dc.identifier.doi |
10.1007/978-3-642-15660-1_1 |
- |
dc.identifier.issn |
1867-5662 |
- |
dc.identifier.scopusid |
2-s2.0-80052958820 |
- |
dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/2952 |
- |
dc.identifier.url |
https://link.springer.com/chapter/10.1007%2F978-3-642-15660-1_1 |
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dc.language |
영어 |
- |
dc.publisher |
SPRINGER VERLAG |
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dc.title |
Foreword: Learning Structure of Human Behavior Patterns in a Smart Home System |
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dc.type |
Article |
- |
dc.description.isOpenAccess |
FALSE |
- |
dc.description.journalRegisteredClass |
scopus |
- |