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[Th018] Citation: H. Takenaka, 'Hidden Markov Model Approach to Skill Analysis in Violin Bowing,'
MSEE Thesis, University of Washington, Department of Electrical Engineering, December, 1995.
Abstract
Human Skill is an ability to perform a given task precisely in a
suitable period. Skill consists of two categories, mental skill and
motor skill. Skill acquisition has been on of the most important
research areas in the fields of robotics, rehabilitation, and sports.
One such skill is violin bowing whose methods for teaching have changed
little over the years. This thesis investigates the possible
development of a bowing motion analysis and training system based on
optical position tracking of arm movement and Hidden Markov Modeling
(HMM) of the movement data. A HMM is used to descriminate between two
different types of bowing motions recorded with an optical motion
analysis system. The results showed that the HMM is capable of
discriminating Legato from Staccato bowing, but that standard training
algorithms do not improve performance.
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Updated: Tue Jul 15 23:54:51 2008
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