Learning to play and perform a music instrument is a complex cognitive task, requiring high conscious control and coordination of an impressive number of cognitive and sensorimotor skills. For professional violinists, there exists a physical connection with the instrument allowing the player to continuously manage the sound through sophisticated bowing techniques and fine hand movements. Hence, it is not surprising that great importance in violin training is given to right hand techniques, responsible for most of the sound produced. In this paper, our aim is to understand which motion features can be used to efficiently and effectively distinguish a professional performance from that of a student without exploiting sound-based features. We collected and made freely available a dataset consisting of motion capture recordings of different violinists with different skills performing different exercises covering different pedagogical and technical aspects. We then engineered peculiar features and trained a data-driven classifier to distinguish among two different levels of violinist experience, namely beginners and experts. In accordance with the hierarchy present in the dataset, we study two different scenarios: extrapolation with respect to different exercises and violinists. Furthermore, we study which features are the most predictive ones of the quality of a violinist to corroborate the significance of the results. The results, both in terms of accuracy and insight on the cognitive problem, support the proposal and support the use of the proposed technique as a support tool for students to monitor and enhance their home study and practice.

学习演奏和演奏乐器是一项复杂的认知任务，需要高度的意识控制和协调大量认知和感觉运动技能。对于专业的小提琴手而言，与乐器之间存在物理连接，从而使演奏者可以通过复杂的弓弦技术和精细的手部动作来持续管理声音。因此，毫不奇怪的是，在小提琴训练中非常重视负责产生大部分声音的右手技术。在本文中，我们的目的是了解哪些运动功能可用于有效而有效地将专业演奏与学生的演奏区分开，而无需利用基于声音的功能。我们收集并免费提供了一个数据集，该数据集由不同技巧的小提琴家的运动捕捉记录组成，它们执行不同的练习，涵盖不同的教学和技术方面。然后，我们设计了独特的功能并训练了数据驱动的分类器，以区分初学者和专家这两个不同级别的小提琴手经验。根据数据集中的层次结构，我们研究了两种不同的情况：针对不同练习和小提琴手的外推法。此外，我们研究了哪些特征是小提琴手素质中最具预测性的特征，从而证实了结果的重要性。结果，无论是准确性还是对认知问题的洞察力，