Title :
Man-machine communication via CFNN-based hand sign models
Author :
Várkonyi-Kóczy, Annamária R. ; Tusor, Balázs
Author_Institution :
Inst. of Mechatron. & Vehicle Eng., Obuda Univ., Budapest, Hungary
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 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 :
fuzzy neural nets; fuzzy reasoning; gesture recognition; image sequences; man-machine systems; user interfaces; CFNN; fuzzy inference; fuzzy neural networks; hand gesture modeling; hand posture modeling; hand recognition system; hand sign models; intelligent space; man-machine communication; Fuzzy neural networks; Hidden Markov models; Intelligent networks; Intelligent systems; Machine intelligence; Man machine systems; Motion analysis; Motion detection; Neural networks; Ubiquitous computing; Fuzzy Neural Networks; Hand Gesture Recognition; Hand Posture Modeling; Intelligent Space; iSpace;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2010 IEEE 8th International Symposium on
Conference_Location :
Herlany
Print_ISBN :
978-1-4244-6422-7
DOI :
10.1109/SAMI.2010.5423705
