Human-Computer Interaction for Smart Environment Applications Using Fuzzy Hand Posture and Gesture Models

Ever since the assemblage of the first computer, efforts have been made to improve the way people could use machines. Recently, the usage of smart environments has become popular in order to make everyday living more comfortable and to improve the quality of living of humans. In this paper, a hand p...

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Veröffentlicht in:IEEE transactions on instrumentation and measurement 2011-05, Vol.60 (5), p.1505-1514
Hauptverfasser: Varkonyi-Koczy, Annamária R, Tusor, Balázs
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Tusor, Balázs
description Ever since the assemblage of the first computer, efforts have been made to improve the way people could use machines. Recently, the usage of smart environments has become popular in order to make everyday living more comfortable and to improve the quality of living 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 smart environment (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.
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subjects Feature extraction
Fuzzy neural networks
Fuzzy sets
hand-gesture recognition
hand-posture modeling
Hidden Markov models
Humans
intelligent space
iSpace
Neural networks
Neurons
Pragmatics
smart environment
Studies
title Human-Computer Interaction for Smart Environment Applications Using Fuzzy Hand Posture and Gesture Models
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