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 |
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creator | Varkonyi-Koczy, Annamária R 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. |
doi_str_mv | 10.1109/TIM.2011.2108075 |
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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. 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Finally, from the sequence of detected hand postures, the system can recognize the hand gesture of the user.</description><subject>Feature extraction</subject><subject>Fuzzy neural networks</subject><subject>Fuzzy sets</subject><subject>hand-gesture recognition</subject><subject>hand-posture modeling</subject><subject>Hidden Markov models</subject><subject>Humans</subject><subject>intelligent space</subject><subject>iSpace</subject><subject>Neural networks</subject><subject>Neurons</subject><subject>Pragmatics</subject><subject>smart environment</subject><subject>Studies</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kN1LwzAUxYMoOKfvgi_B986btGnSxzH2BRsKbs8lTRPpWJOatIL7623p8OXe8_A79-Mg9ExgRghkb4ftfkaBkBklIICzGzQhjPEoS1N6iyYARERZwtJ79BDCCQB4mvAJqjZdLW20cHXTtdrjre2rVG3lLDbO489a-hYv7U_lna21bfG8ac6VkgMR8DFU9guvusvlF2-kLfGHC23nNR70Wo9670p9Do_ozshz0E_XPkXH1fKw2ES79_V2Md9FimbQRpSIgnIluCTKFIlQWSkMCEm1BGMKxlSSMJJksYyNiQvFmJCsNJSnmileQDxFr-Pcxrvvrj8hP7nO235lLlKIWZrRpIdghJR3IXht8sZX_au_OYF8yDPv88yHPPNrnr3lZbRUWut_nPEE4pTHfzsmcsM</recordid><startdate>201105</startdate><enddate>201105</enddate><creator>Varkonyi-Koczy, Annamária R</creator><creator>Tusor, Balázs</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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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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