Smartwatch-Based Audio–Gestural Insights in Violin Bow Stroke Analyses

Following the exposition of quantitative, identifiable idiosyncrasy in violin performance – via neural network classification – we demonstrate that smartwatch-based synchronous audio-gesture logging facilitates interpretable practice feedback in violin performance. The novelty of our approach is two...

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Bibliographic Details

Published in:	Transactions of the International Society for Music Information Retrieval
Main Authors:	William Wilson, Niccolò Granieri, Samuel Smith, Carlo Harvey, Islah Ali-MacLachlan
Format:	Article
Language:	English
Published:	Ubiquity Press 2025-09-01
Subjects:	datasets neural networks gestural analysis computational musicology violin imu sensors technology-enhanced learning
Online Access:	https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/216