Demo: The RFID Can Hear Your Music Play

Yuanhao Feng, Panlong Yang, Yanyong Zhang, Xiangyang Li, Ziyang Chen, Gang Huang
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引用次数: 2

Abstract

In this work, we devise RF-DJ, a contactless music recognition system with the help of COTS RFID device. Since the music is caused by vibration and the vibration can influence the RF signal, our system could accurately recover the frequency of every tone, especially string instruments. Specifically, RF-DJ is immune to noises from the player/instrument motions and the ambient environment. Further more, it can recover the high frequency signal from the relatively low sampling rate data. In our demonstration, we put one tag on the surface of ukulele (not the string) and achieve the overall recognition accuracy of $93%, 90%, 87%, 81%$ when using 1,2,3,4 strings, respectively. Compared to typical machine learning based RF sensing systems, our system is model driven instead of data driven, which requires little training effort and could be applicable across different locations. Last but not the least, our system can also be used for other instruments such as zither, violin and kalimba and shows similarly good performances.
演示:RFID可以听到你的音乐播放
本文设计了一种基于COTS RFID器件的非接触式音乐识别系统RF-DJ。由于音乐是由振动引起的,振动会影响射频信号,因此我们的系统可以准确地恢复每个音调的频率,特别是弦乐器。具体来说,RF-DJ不受来自播放器/乐器运动和周围环境的噪音的影响。此外,它还可以从相对较低的采样率数据中恢复出高频信号。在我们的演示中,我们将一个标签放在尤克里里琴(不是弦)的表面上,当使用1、2、3、4个弦时,我们的整体识别准确率分别为93%、90%、87%、81%。与典型的基于机器学习的射频传感系统相比,我们的系统是模型驱动的,而不是数据驱动的,这需要很少的训练工作,可以适用于不同的位置。最后但并非最不重要的是,我们的系统也可以用于其他乐器,如古筝,小提琴和kalimba,并显示出同样良好的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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