DocumentCode :
2688269
Title :
Circular fuzzy neural network based hand gesture and posture modeling
Author :
Tusor, Balazs ; Varkonyi-Koczy, Annamaria R.
Author_Institution :
Integrated Intell. Syst. Japanese-Hungarian Lab., Budapest, Hungary
fYear :
2010
fDate :
3-6 May 2010
Firstpage :
815
Lastpage :
820
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.
Keywords :
feature extraction; fuzzy neural nets; gesture recognition; circular fuzzy neural network; fuzzy hand posture feature model; hand gesture recognition system; intelligent space; posture modeling; Fuzzy neural networks; Humans; Intelligent agent; Intelligent networks; Intelligent systems; Mobile robots; Modeling; Monitoring; Motion detection; Ubiquitous computing; Fuzzy Neural Networks; Hand Gesture Recognition; Hand Posture Modeling; Intelligent Space; iSpace;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
Conference_Location :
Austin, TX
ISSN :
1091-5281
Print_ISBN :
978-1-4244-2832-8
Electronic_ISBN :
1091-5281
Type :
conf
DOI :
10.1109/IMTC.2010.5488145
Filename :
5488145
Link To Document :
بازگشت