2020
DOI: 10.1007/978-3-030-43887-6_43
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Bow Gesture Classification to Identify Three Different Expertise Levels: A Machine Learning Approach

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Cited by 2 publications
(1 citation statement)
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“…Dalmazzo, et al (2019) attempted to classify the bowing motions with different playing styles, such as detache, staccato, or spiccato, using inertial and audio information, and showed that the motions were appropriately classified by the inertial sensor information. In a later study by Dalmazzo, et al (2020), the number of subjects was expanded to nine with different levels of proficiency, and the accuracy of classification based on inertial sensor data was evaluated. The movements in these studies were repetitive reciprocating motions similar to tremolo, even with a longer period, suggesting that inertial sensor measurements may be valid for mandolin tremolo as well.…”
Section: Introductionmentioning
confidence: 99%
“…Dalmazzo, et al (2019) attempted to classify the bowing motions with different playing styles, such as detache, staccato, or spiccato, using inertial and audio information, and showed that the motions were appropriately classified by the inertial sensor information. In a later study by Dalmazzo, et al (2020), the number of subjects was expanded to nine with different levels of proficiency, and the accuracy of classification based on inertial sensor data was evaluated. The movements in these studies were repetitive reciprocating motions similar to tremolo, even with a longer period, suggesting that inertial sensor measurements may be valid for mandolin tremolo as well.…”
Section: Introductionmentioning
confidence: 99%