File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Foreword: Learning Structure of Human Behavior Patterns in a Smart Home System

Author(s)
Bien, ZeungnamLee, Sangwan
Issued Date
2010-01
DOI
10.1007/978-3-642-15660-1_1
URI
https://scholarworks.unist.ac.kr/handle/201301/2952
Fulltext
https://link.springer.com/chapter/10.1007%2F978-3-642-15660-1_1
Citation
ADVANCES IN INTELLIGENT AND SOFT COMPUTING, v.82, no.2, pp.1 - 15
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
Publisher
SPRINGER VERLAG
ISSN
1867-5662

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.