Document Type	Master's Dissertation
Author	Pun, James Chi-Him
Email	respho@gmail.com
URN	etd-11052007-171910
Document Title	Gesture recognition with application in music arrangement
Degree	MSc (Computer Science)
Department	Computer Science
Supervisor	Advisor Name Title Dr F van den Bergh Committee Co-Chair Prof A P Engelbrecht Supervisor
Keywords	computational intelligence gesture recognition device-free interaction computer vision human-computer interaction music synthesis
Date	2007-04-25
Availability	unrestricted
Abstract This thesis studies the interaction with music synthesis systems using hand gestures. Traditionally users of such systems were limited to input devices such as buttons, pedals, faders, and joysticks. The use of gestures allows the user to interact with the system in a more intuitive way. Without the constraint of input devices, the user can simultaneously control more elements within the music composition, thus increasing the level of the system's responsiveness to the musician's creative thoughts. A working system of this concept is implemented, employing computer vision and machine intelligence techniques to recognise the user's gestures. © University of Pretoria
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