Automated Violin Bowing Gesture Recognition Using FMCW-Radar and Machine Learning
Author:
Affiliation:
1. Harriton High School, Rosemont, PA, USA
2. Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
https://ieeexplore.ieee.org/ielam/7361/10113769/10093835-aam.pdf
Reference34 articles.
1. Bowing Gestures Classification in Violin Performance: A Machine Learning Approach
2. Audio classification of violin bowing techniques: An aid for beginners
3. Body Movement Generation for Expressive Violin Performance Applying Neural Networks
4. Wireless sensor system for measurement of violin bowing parameters;young;Proc SMAC,2003
5. MusicJacket—Combining Motion Capture and Vibrotactile Feedback to Teach Violin Bowing
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