Violin Gesture Recognition Using FMCW Radars

Violin Gesture Recognition Using FMCW Radars
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DOI：
10.1109/wisnet56959.2023.10046213
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发表时间：
2023-01
期刊：
2023 IEEE Topical Conference on Wireless Sensors and Sensor Networks
影响因子：
--
通讯作者：
Hannah Gao;Christopher Williams;V. G. R. Varela;Changzhi Li
Hannah Gao;Christopher Williams;V. G. R. Varela;Changzhi Li
中科院分区：
其他
文献类型：
--
作者：
Hannah Gao;Christopher Williams;V. G. R. Varela;Changzhi Li

文献摘要

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鞠躬手势是小提琴演奏的关键组成部分，可以通过分析来提供对小提琴家演奏的反馈。雷达系统越来越多地被用来识别人类的动作，但还不是在音乐背景下。在这项研究中，便携式调频连续波(FMCW)雷达被用来检测各种小提琴鞠躬手势。从原始信号数据中提取距离像和时间-多普勒谱，它们的独特特征允许区分不同的弓技术和识别不正确的弓动作。这项研究的结果显示了雷达在辅助乐器训练方面的潜力。
Bowing gestures are a key component of violin playing and can be analyzed to provide feedback on a violinist's performance. Radar systems have increasingly been used to recognize human movements but not yet in a musical context. In this study, a portable frequency-modulated continuous-wave (FMCW) radar is used to detect various violin bowing gestures. Range profiles and time-Doppler spectrograms are extracted from the raw signal data, and their unique characteristics allow for the differentiation of different bowing techniques and the recognition of incorrect bowing motions. The results of this study demonstrate the potential of radars in aiding musical instrument training.