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Content Provider | IEEE Xplore Digital Library |
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Author | Tusor, B. Varkonyi-Koczy, A.R. |
Copyright Year | 2010 |
Description | Author affiliation: Institute of Mechatronics and Vehicle Engineering, óbuda University, Budapest, Hungary (Varkonyi-Koczy, A.R.) || Integrated Intelligent Systems Japanese-Hungarian Laboratory, Budapest, Hungary (Tusor, B.) |
Abstract | Recently, the usage of smart environments has become popular, in order to make everyday living more comfortable and to improve the quality of live of humans. In this paper, a hand posture and gesture modeling and recognition system is introduced, which can be used as an interface to make possible communication with the Intelligent Space by simple hand gestures. The system transforms preprocessed data of the detected hand into a fuzzy hand posture feature model by using fuzzy neural networks and based on this model determines the actual hand posture applying fuzzy inference. Finally, from the sequence of detected hand postures, the system can recognize the hand gesture of the user. |
Starting Page | 815 |
Ending Page | 820 |
File Size | 1294155 |
Page Count | 6 |
File Format | |
ISBN | 9781424428328 |
ISSN | 10915281 |
DOI | 10.1109/IMTC.2010.5488145 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-05-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fuzzy neural networks Humans Intelligent networks Motion detection Intelligent systems Intelligent agent Mobile robots Ubiquitous computing Monitoring Modeling Fuzzy Neural Networks Intelligent Space iSpace Hand Posture Modeling Hand Gesture Recognition |
Content Type | Text |
Resource Type | Article |
Subject | Instrumentation Electrical and Electronic Engineering |
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