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Controlling Computer Using Gestures
Lacko, Peter ; Herout, Adam (referee) ; Juránek, Roman (advisor)
This work deals with creation of system for controlling computer through webcam with gestures. Gesture in this work can be viewed as hand motion forming some pattern. In the beginning are described methods for hand detection, hand tracking and pattern recognition. Afterwards comes description of system and it's implementation with tests evaluation. Outcome of this work is program for simple control of document viewer and multimedia player.
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Human-Computer Interaction Using Kinect
Knot, Stanislav ; Orság, Filip (referee) ; Mráček, Štěpán (advisor)
Abstract This BSc. thesis is concerned about remote control of computer using Kinect device. Sound, depth of image and image capturing is described in thesis. After reading this thesis, reader should have idea of how kinect works, which method it uses and why it uses these. Furthermore, thesis describes design and implementation of alghoritms used in the application.
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Recognizing of the gesture, based on data from accelerometer, used to control a car model
Zermegh, Tomáš ; Sova, Václav (referee) ; Lamberský, Vojtěch (advisor)
This project deals with the usage of development kit Chronos ez430 to demonstrate fundamental movements based on the recognition of gestures. Recognition of basic gestures for movements (forward, stop, backwards and turning) is the fundamental part of the work which is based on formulating algorithm. The formulating of algorithm for data processing runs under Matlab/Simulink. The algorithm is converted into the C language and with the help of Code Composer Studio is integrated into kit Chronos ez430.
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Mouse Gesture Recognition
Král, Jiří ; Zuzaňák, Jiří (referee) ; Hradiš, Michal (advisor)
This project deals with Mouse gesture recognition. Proposed system models trajectories using Hidden markov model (HMM), that models gesture as an time sequence of features. In the project there are several parametrizations analyzed and compared. The best parametrization (position normalized by center of gravity and size) reached Sensitivity of recognition of 98 %.
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Recognition of Objects and Gestures in Image
Johanová, Daniela ; Beran, Vítězslav (referee) ; Zemčík, Pavel (advisor)
This thesis is focused on gesture recognition in video. The main purpose of this thesis was to create an algorithm and an application that can recognize selected gestures using a~video obtained through a~standard webcamera. The intention was to control an application program, such as video player. The approach used to achieve this goal was to exploit methods of feature extraction, tracking, and machine learning.
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Kinect-Based Gesture Recognition
Zapletal, Filip ; Šolony, Marek (referee) ; Žák, Pavel (advisor)
This paper describes methods of obtaining position data of individual body parts using different technologies, with particular focus on Kinect. Based on this knowledge was designed and implemented library for the detection of dynamic motion gestures, which has been tested on a set of designed gestures.
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Data Projector Drawing with Leap Motion
Cilip, Peter ; Najman, Pavel (referee) ; Zahrádka, Jiří (advisor)
Purpose of this bachelor´s thesis is to design interface for application, that is using projector and sensor leap motion. Application is divided to 2 applications, calibration and drawing. Designed interface should be implemented in one of optional programming languages. Thesis is focused on calibration and calibration methods used in computer vision and drawing application. The result of work is multiplatform application written in C++ programming language and Qt library, that uses leap motion and projector to draw.
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User Interaction with Objects in 3D Space
Svoboda, Petr ; Zahrádka, Jiří (referee) ; Beran, Vítězslav (advisor)
This thesis examines the design of a method of human interaction with real world objects. For this purpose, an application that visualizes virtual space with virtual objects similar to real world objects was created. A user is able to interact with these objects through natural user interface based on hand gestures. Solution is based on the use of depth sensors. This thesis describes all important steps to achieve these goals. Finally, experiments and results of designed interfaces are summarized and discussed.
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