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An Algorithm for Detecting the Expressive Musical Gestures of Violinists Based on IMU Signals

机译:一种检测基于IMU信号的小提琴手表达音乐姿态的算法

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The 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%.
机译:该物品介绍了一种算法,用于对基于IMU传感器的小提琴竞争表达式的算法,位于小提琴家前臂上。在研究的初始阶段,通过将它们转移到新的坐标系来扩展原始测量信号集。已经使用典型的惯性导航系统(INS)的变换来获得附加的运动动力学信号,包括估计的线性速度。在工作的下一部分中,提取了普遍的功能以及IMU信号的典型指标。 _“最终实验涉及数据分类的比较有效性,使用相互信息和随机森林算法选择的特征。使用公开的数据库进行了所提出的算法性能的评估。超过所获得的分类精度水平超过90%。

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