Bachelor Thesis - Computer Graphics Group

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I would like to thank my supervisor RNDr. Josef Pelikán, for many valuable suggestions and for all the time spent at consultations. I would also like to thank my friend Andrej Mikulík, for practical use of my application during the development, useful feature requests and bug reports. I am grateful to my friend Dominik Kosorín, for correcting the spelling of the thesis. Finally, thanks to my sister Diana Burdová and my friend Michal Čermák, for mental support during hard times while writing the thesis. I hereby certify that I wrote the thesis myself using only the referenced sources. I agree with publishing and lending of the thesis. Prague, 8 August, 2008 Milan Burda 2
Contents 1 Introduction 6 1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.2 Existing solution . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 Gesture definition . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.4 Goals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.5 Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.6 Program structure . . . . . . . . . . . . . . . . . . . . . . . . . 9 2 Gesture recognition 11 2.1 Algorithm principle . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.2 Neural network . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.3 K-nearest neighbors . . . . . . . . . . . . . . . . . . . . . . . . . 14 3 Technologies used 16 3.1 Visual Studio 2008 + Feature Pack . . . . . . . . . . . . . . . . 16 3.2 Graphical user interface toolkit . . . . . . . . . . . . . . . . . . 17 4 Gesture capture library 20 4.1 Mouse input detection & filtering . . . . . . . . . . . . . . . . . 20 4.2 Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 4.3 Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.4 Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 4.5 Issues experienced . . . . . . . . . . . . . . . . . . . . . . . . . . 27 5 Main application 29 5.1 Application design . . . . . . . . . . . . . . . . . . . . . . . . . 29 5.2 Gesture capture library wrapper . . . . . . . . . . . . . . . . . . 30 3
Page 1: Charles University in Prague Facult
Page 5 and 6: Title: Mouse Gestures Author: Milan
Page 7 and 8: 1.2 Existing solution Still, one su
Page 9 and 10: Right clicking the icon will displa
Page 11 and 12: Chapter 2 Gesture recognition Our m
Page 13 and 14: vector of fixed length, called the
Page 15 and 16: measure, we get K nearest objects.
Page 17 and 18: 3.2 Graphical user interface toolki
Page 19 and 20: • QObject instances are organized
Page 21 and 22: 1. the most naive idea is the user
Page 23 and 24: e supported too • the user must b
Page 25 and 26: Global uniqueness of the statically
Page 27 and 28: The function supposed to invoke the
Page 29 and 30: Chapter 5 Main application 5.1 Appl
Page 31 and 32: The gesture capture library identif
Page 33 and 34: is given the opportunity to perform
Page 35 and 36: shape of the gesture. It can also c
Page 37 and 38: 5.7 User interface Universal Gestur
Page 39 and 40: Figure 5.6: Pattern Editor window T
Page 41 and 42: steps would have to be taken: 1. mo
Page 43 and 44: tion can be exploited in some parts
Page 45 and 46: menu. One of the main goals was mod
Page 47 and 48: [13] FireGestures, http://www.xulde
Page 49: Appendix A User documentation 49

Bachelor Thesis - Computer Graphics Group

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