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Computer Application Control by Natural Head Movement
Vojvoda, Jakub ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to design and implement a system that tracks user's head in the input video frames and on the basis of its position achieves interaction with computer applications. Four methods for head detection have been proposed based on computer vision techniques as face detection by Haar-like features, background detection, Camshift or Lucas-Kanade to calculate an optical flow. The individual methods have been tested on recorded and in this field used data sets, and evaluated. The implementation of the system was then used to build the demo applications.
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Sledování očních pohybů ve virtuální realitě
Jirásek, Jozef ; Brom, Cyril (advisor) ; Lukavský, Jiří (referee)
In this work we present an application for observing and recording data about movements of a human eye when looking at a computer screen. We use two commercially available devices: I4Control by Medicton Group Ltd. and TrackIR 4 by NaturalPoint. We build a software package which interfaces with the SpaNav system for cognitive research. We also provide an extensible framework for creating other eye tracking applications.
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Sledování očních pohybů ve virtuální realitě
Jirásek, Jozef ; Brom, Cyril (advisor) ; Lukavský, Jiří (referee)
In this work we present an application for observing and recording data about movements of a human eye when looking at a computer screen. We use two commercially available devices: I4Control by Medicton Group Ltd. and TrackIR 4 by NaturalPoint. We build a software package which interfaces with the SpaNav system for cognitive research. We also provide an extensible framework for creating other eye tracking applications.
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Computer Application Control by Natural Head Movement
Vojvoda, Jakub ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to design and implement a system that tracks user's head in the input video frames and on the basis of its position achieves interaction with computer applications. Four methods for head detection have been proposed based on computer vision techniques as face detection by Haar-like features, background detection, Camshift or Lucas-Kanade to calculate an optical flow. The individual methods have been tested on recorded and in this field used data sets, and evaluated. The implementation of the system was then used to build the demo applications.
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