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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.

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 (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).

Thesis (doctoral)--Göteborg University, 2000. / Includes bibliographical references (p. 141-142).

Thesis (Ph. D.)--University of Missouri-Columbia, 2004. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 29, 2006) Vita. Includes bibliographical references.

No description available.