Title page for ETD etd-11052007-171910


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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