DocumentCode :
1859929
Title :
Growing neural gas for information extraction in gesture recognition and reproduction of robot partners
Author :
Botzheim, Janos ; Kubota, Naoyuki
Author_Institution :
Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
fYear :
2012
fDate :
4-7 Nov. 2012
Firstpage :
149
Lastpage :
154
Abstract :
One of the great problems of the aging of society is the increased number of elderly people who live alone and separate from their children. Such elderly people often do not even experience daily conversation, and this can lead to cognitive decline and a high risk of dementia. Human-friendly robots can be used to support the mental and physical care for elderly people. Robotic conversation can activate the brain of such elderly people and improve their concentration and memory abilities. However, voice recognition is not enough in the daily conversation, the recognition of human gestures is also important in order to perform smooth communication. In this paper growing neural network is applied for information extraction in gesture recognition and reproduction by robot partners.
Keywords :
geriatrics; gesture recognition; human-robot interaction; medical computing; neural nets; speech recognition; cognitive decline; concentration ability; dementia; elderly people; human gesture recognition; human-friendly robots; information extraction; memory ability; neural gas; neural network; robot partners; robotic conversation; voice recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Micro-NanoMechatronics and Human Science (MHS), 2012 International Symposium on
Conference_Location :
Nagoya
Print_ISBN :
978-1-4673-4811-9
Type :
conf
DOI :
10.1109/MHS.2012.6492471
Filename :
6492471
Link To Document :
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