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Individuality of movements in music - Finger and body movements during playing of the flute

机译:音乐动作的个性-长笛演奏期间手指和身体的动作

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The achievement of mastery in playing a composition by means of a musical instrument typically requires numerous repetitions and corrections according to the keys and notations of the music piece. Nevertheless, differences in the interpretation of the same music piece by highly skilled musicians seem to be recognizable. The present study investigated differences within and between skilled flute players in their finger and body movements playing the same piece several times on the same and on different days. Six semiprofessional and four professional musicians played an excerpt of Mozart's Flute Concerto No. 2 several times on three different days. Finger and body movements were recorded by 3D motion capture and analyzed by linear and nonlinear classification approaches. The findings showed that the discrete and continuous movement timing data correctly identified individuals up to 100% by means of their finger movements and up to 94% by means of their body movements. These robust examples of identifying individual movement patterns contradict the prevailing models of small, economic finger movements that are favored in the didactic literature for woodwind players and question traditional recommendations for teaching the learning of motor skills.
机译:借助于乐器来完成演奏乐曲的掌握通常需要根据音乐作品的键和记号进行多次重复和校正。尽管如此,高水平的音乐家在同一首音乐作品的解释上的差异似乎是可以识别的。本研究调查了熟练的长笛演奏者内部和之间的差异,他们的手指和身体动作在相同和不同的日子多次演奏相同的乐曲。六位半专业音乐人和四位专业音乐人在三天内分别演奏了莫扎特第二号长笛协奏曲的摘录。手指和身体的运动通过3D运动捕捉进行记录,并通过线性和非线性分类方法进行分析。研究结果表明,离散和连续的运动计时数据可以通过手指运动正确识别出高达100%的个体,通过身体运动正确识别出高达94%的个体。这些确定个体运动模式的有力例子与流行的小巧经济手指运动模型相矛盾,该模型在木管乐器演奏者的教学文献中受到青睐,并质疑传授运动技能学习的传统建议。

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