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Hand gesticulation recognition in image
Zlotý, Petr ; Horák, Karel (referee) ; Janáková, Ilona (advisor)
This work describes gesticulation recognition analysis and implementation. There was chosen the recognition method based on orientation histograms. This method was enhanced by combining it with two segmentation methods. First one based on interframe diferencing and the second one based on skin color detection. There is also mentioned the movement recognition method from reasonable data. It's based on finding a minimum of absolute value of diference between scalar product of picture’s bases vectors and motion vector.
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Mouse-Less Keyboard-Less Human-Computer Interaction
Jaroň, Lukáš ; Mlích, Jozef (referee) ; Beran, Vítězslav (advisor)
In this Bachelor thesis are described suggestions of ways you can control the computer without a mouse and keyboard, just motion of hand, and user interfaces. Then there is the theory describes tools used to develop experimental applications that simulate the proposed interface. And the entire development cycle from problem analysis, specification and implementation, to testing of final application. The result of this work is the interface, that can recognize eight different hand movements and use them as input to the system.
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Mouse-Less Keyboard-Less Human-Computer Interaction
Jaroň, Lukáš ; Mlích, Jozef (referee) ; Beran, Vítězslav (advisor)
In this Bachelor thesis are described suggestions of ways you can control the computer without a mouse and keyboard, just motion of hand, and user interfaces. Then there is the theory describes tools used to develop experimental applications that simulate the proposed interface. And the entire development cycle from problem analysis, specification and implementation, to testing of final application. The result of this work is the interface, that can recognize eight different hand movements and use them as input to the system.
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Hand gesticulation recognition in image
Zlotý, Petr ; Horák, Karel (referee) ; Janáková, Ilona (advisor)
This work describes gesticulation recognition analysis and implementation. There was chosen the recognition method based on orientation histograms. This method was enhanced by combining it with two segmentation methods. First one based on interframe diferencing and the second one based on skin color detection. There is also mentioned the movement recognition method from reasonable data. It's based on finding a minimum of absolute value of diference between scalar product of picture’s bases vectors and motion vector.
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