No description available.

This thesis presents a method to visually detect and recognize fingering gestures of the left hand of a guitarist. The choice of computer vision to perform that task is motivated by the absence of a satisfying method for realtime guitarist fingering detection. The development of this computer vision method follows preliminary manual and automated analyses of video recordings of a guitarist. These first analyses led to some important findings about the design methodology of such a system, namely the focus on the effective gesture, the consideration of the action of each individual finger, and a recognition system not relying on comparison against a knowledge-base of previously learned fingering positions. Motivated by these results, studies on three important aspects of a complete fingering system were conducted. One study was on realtime finger-localization, another on string and fret detection, and the last on movement segmentation. Finally, these concepts were integrated into a prototype and a system for left-hand fingering detection was developed. Such a data acquisition system for fingering retrieval has uses in music theory, music education, automatic music and accompaniment generation and physical modeling.

By the availability of today&rsquo / s inexpensive powerful hardware, it becomes possible to design real-time computer vision systems even in personal computers. Therefore, computer vision becomes a powerful tool for human-computer interaction (HCI). In this study, three different vision-based HCI systems are described. As in all vision-based HCI systems, the developed systems requires a camera (a webcam) to monitor the actions of the users. For pointing tasks, laser pointer is used as the pointing device. The first system is Vision-Based Keyboard System. In this system, the keyboard is a passive device. Therefore, it can be made up of any material having a keyboard layout image. The web camera is placed to see the entire keyboard image and captures the movement of the laser beam. The user enters a character to the computer by covering the corresponding character region in the keyboard layout image with the laser pointer. Additionally, this keyboard system can be easily adapted for disabled people who have little or no control of their hands to use a keyboard. The disabled user can attach a laser pointer to an eyeglass and control the beam of the laser pointer by only moving his/her head. For the same class of disabled people, Vision-Based Mouse System is also developed. By using the same setup used in the previous keyboard system, this system provides the users to control mouse cursor and actions. The last system is Vision-Based Continuous Graffiti1-like Text Entry System. The user sketches characters in a GraffitiTM-like alphabet in a continuous manner on a flat surface using a laser pointer. The beam of the laser pointer is tracked during the image sequences captured by a camera and the corresponding written word is recognized from the extracted trace of the laser beam.

Thesis (MApSc(ComputerScience))--University of South Australia, 2001.

Thesis (Ph. D.)--University of Sydney, 2003. / Title from title screen (viewed 16 April 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Information Technologies, Faculty of Science. Includes bibliographical references. Also available in print form.

Thesis (Ph. D.)--University of Oregon, 2008. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 185-191). Also available online in Scholars' Bank; and in ProQuest, free to University of Oregon users.

Thesis (doctoral)--Göteborg University, 2000. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (p. 141-142).

Thesis (M. Sc.)--Acadia University, 2000. / Includes bibliographical references (leaves 86-87). Also available on the Internet via the World 'wide Web.

Thesis (M.S.E.)--University of Washington, 1996. / Includes bibliographical references (leaves [53]-56). Issued also electronically via World Wide Web in HTML and RTF formats.

Thesis (Ph.D.)--UCLA, 2008. / Vita. Includes bibliographical references (leaves 183-204).