An Algorithm for Detecting the Expressive Musical Gestures of Violinists Based on IMU Signals
Aleksander Sawicki , Sławomir Zieliński
AbstractThe article presents an algorithm for classifying the style of expression of violin playing based on IMU sensor, located on the violinists forearm. In the initial phase of research, the original set of measured signals was extended by transferring them to new coordinate systems. Additional motion dynamics signals, including estimated linear velocity, have been obtained using transformations typical for inertial navigation systems (INS). In the next part of the work, universal features as well as indicators typical for IMU signals were extracted. The final experiment concerned the comparative effectiveness of data classification, using features selected by mutual information and random forest algorithms. The evaluation of the performance of the proposed algorithm has been carried out using a publicly available database. The obtained level of classification accuracy exceeded 90%.
|Publication size in sheets||0.6|
|Book||Saeed Khalid, Rituparna Chaki, Janev Valentina (eds.): Computer Information Systems and Industrial Management : 18th International Conference : CISIM 2019 : proceedings, Lecture Notes In Computer Science, no. 11703, 2019, Springer, ISBN 978-3-030-28956-0, 540 p., DOI:10.1007/978-3-030-28957-7|
|Keywords in English||IMU Feature extraction Feature selection Classification Musical expression|
|Internal identifier||ROC 19-20|
|Score||= 40.0, 09-03-2020, ChapterFromConference|
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