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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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3D Drawing Using Leap Motion
Semerák, Jakub ; Zahrádka, Jiří (referee) ; Najman, Pavel (advisor)
The goal of this thesis was to create a simple 3D drawing application that uses Leap Motion controller. This application was designed to test gesture-based interaction versus keyboard controls. It was found that gesture-based interaction is not as effective as interaction combined with keyboard. However, when users interact with the application for a prolonged period of time, the noticeable acceleration of gesture-based interaction could be observed.
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Ground Vehicle Control by User Gestures
Chlud, Michal ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
This bachelor's work is focused on basic methods leading to successful gesture recognition in video sequence using standard RGB camera. Key steps required for hand classification are described, mainly segmentation of input video based on skin color model. Next there are discussed methods for object tracking and gesture analysis. Main goal of this work is to demonstrate this knowledge by creating application which controls robot's movement by hand gesture analysis. Solution is proposed and individual implementation steps are described.
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Application Control Using Gestures
Lengál, Tomáš ; Zahrádka, Jiří (referee) ; Najman, Pavel (advisor)
This bachelor thesis deals with application control using sensor Microsoft Kinect. The main goal is to explore the possibility and the suitability of the sensor for gesture recognition and their using in control application. The work focuses on three main tasks. Namely, menu control, rotation control and trimming control.
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Video-Based Human-Computer Interface
Chrápek, David ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This bachelor´s thesis is focused on video-based human-computer interface controlled by movement of the whole head. By tracking relative positions of eyes and nose angles of head are determined and by movement of head simple gestures are recognized. For image processing Haar-cascades based on Viola-Jones of classifiers were used to recognize head, eyes and nose within the image and for their tracking mainly Lucas-Kanade optical flow method was used.
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Game with Hand Gesture Control
Kartous, Petr ; Zemčík, Pavel (referee) ; Hradiš, Michal (advisor)
This work is focused on controlling the game by using hand gestures. The main part of the work is image segmentation and detection of the hand in picture. For the segmentation of the image are used techniques of skin detection and the background subtraction with adaptive model of the background. Also the methods of mathematical morphology to eliminate the noise from the image and the appropriate methods for transferring images of gestures to characteristic gestures in numerical form are mentioned. In the context of the work was a simple car race game created which is controlled by hand gestures. At the end there was a testing carried out to identify the advantages and disadvantages of used methods of image segmentation and to detect the used hand gestures. There were also several sets of gestures tested by which the game is controlled. The two sets which came out of the test most successfully are applicable depending on the quality of the hand gesture recognition.
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Hand Computer Controlling
Matějíčka, Miloš ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
Bachelor's thesis is engaged in computer control with simple one hand gestures. There is described principal of hand detection by skin color recognition, processing and classification of hand gestures. The thesis includes implemented application for hand gesture recognition from video. For work with video library OpenCv is used.
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Tracking Judge Including Gestures in Agility
Palata, Petr ; Přibyl, Bronislav (referee) ; Herout, Adam (advisor)
This thesis focuses on tracking an Agility judge including his gestures. The beginning is dedicated to a brief introduction into Agility. After that, a conceptual system is presented and its parts are then described in the individual chapters. The thesis evaluates availa- ble open-source human trackers and integrates them into the system. Posture and hand recognition are done using two SVM classifiers trained with Bag of Words descriptors.
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Human-Machine Interface Based on Gestures
Charvát, Jaroslav ; Beran, Vítězslav (referee) ; Bartoň, Radek (advisor)
Master's thesis "Human-Machine Interface Based on Gestures" depicts the theoretical background of the computer vision and gesture recognition. It describes more in detail different methods that were used to create the application. Practical part of this thesis consists of the description of the developed program and its functionality. Using this application, user should be able to control computer by gestures of both right and left hands and also his head. The program is primarily based on the skin detection that is followed by the recognition of palms and head gestures. There were used two essential methods for these actions, AdaBoost and PCA.
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Hand gesticulation recognition in image
Mráz, Stanislav ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This master’s thesis is dealing with recognition of an easy static gestures in order to computer controlling. First part of this work is attended to the theoretical review of methods used to hand segmentation from the image. Next methods for hang gesture classification are described. The second part of this work is devoted to choice of suitable method for hand segmentation based on skin color and movement. Methods for hand gesture classification are described in next part. Last part of this work is devoted to description of proposed system.
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