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Projected User Interface - Card Game
Brestič, Tomáš ; Kapinus, Michal (referee) ; Najman, Pavel (advisor)
Current effort to make human-computer interaction more intuitive leads to utilization of gestures replacing the need to use a conventional input device. At the same time there is a tendency to integrate the output into the physical world around the user and therefore to minimize any artificial means of interaction in general. The aim of this thesis is to implement a card game that can be controlled on the basis of the principles described above. Fundamental issues are human motion tracking, hand detection and gesture recognition. The application uses depth data from the second generation of Kinect sensor, analytical description of gestures and allows up to four players to play the game. Its graphics are projected on the table to maximize compliance with the real situation.
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Kinect-Based Desktop Controller
Czompál, Zsolt ; Široký, Vít (referee) ; Žák, Pavel (advisor)
The aim of this master's thesis was to create a user interface that allows controlling the PC using voice commands, static poses and dynamic gestures. It contains an implementation of a natural user interface that emulates the functionality of the keyboard and the mouse. In this thesis for detecting and tracking the user was used the sensor Kinect. For implementation I have chosen platform Windows and the Kinect for Windows SDK with programming language C#. During the implementation and testing of the interface, sensor Kinect for Xbox 360 was used. The result of this master's thesis is a natural user interface that allows controlling desktop applications without using keyboard or mouse, and that is comfortable and user-friendly.
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Web Browser Control Using Gestures
Němeček, Jiří ; Zahrádka, Jiří (referee) ; Najman, Pavel (advisor)
This thesis describes web browser control possibilities using touchless gestures captured over Microsoft Kinect sensor. It presents gesture reading and analyzing procedures for further processing. Particular aspects of design and implementation of the sample application are also shown here. Final part consits of application usability testing summary and describes possibilities of its further deployment.
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Projected User Interface - Card Game
Brestič, Tomáš ; Kapinus, Michal (referee) ; Najman, Pavel (advisor)
Current effort to make human-computer interaction more intuitive leads to utilization of gestures replacing the need to use a conventional input device. At the same time there is a tendency to integrate the output into the physical world around the user and therefore to minimize any artificial means of interaction in general. The aim of this thesis is to implement a card game that can be controlled on the basis of the principles described above. Fundamental issues are human motion tracking, hand detection and gesture recognition. The application uses depth data from the second generation of Kinect sensor, analytical description of gestures and allows up to four players to play the game. Its graphics are projected on the table to maximize compliance with the real situation.
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Web Browser Control Using Gestures
Němeček, Jiří ; Zahrádka, Jiří (referee) ; Najman, Pavel (advisor)
This thesis describes web browser control possibilities using touchless gestures captured over Microsoft Kinect sensor. It presents gesture reading and analyzing procedures for further processing. Particular aspects of design and implementation of the sample application are also shown here. Final part consits of application usability testing summary and describes possibilities of its further deployment.
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|
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Kinect-Based Desktop Controller
Czompál, Zsolt ; Široký, Vít (referee) ; Žák, Pavel (advisor)
The aim of this master's thesis was to create a user interface that allows controlling the PC using voice commands, static poses and dynamic gestures. It contains an implementation of a natural user interface that emulates the functionality of the keyboard and the mouse. In this thesis for detecting and tracking the user was used the sensor Kinect. For implementation I have chosen platform Windows and the Kinect for Windows SDK with programming language C#. During the implementation and testing of the interface, sensor Kinect for Xbox 360 was used. The result of this master's thesis is a natural user interface that allows controlling desktop applications without using keyboard or mouse, and that is comfortable and user-friendly.
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