Complex hand dexterity: a review of biomechanical methods for measuring musical performance.
Complex hand dexterity: a review of biomechanical methods for measuring musical performance.
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DOI：
10.3389/fpsyg.2014.00414
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发表时间：
2014
影响因子：
3.8
通讯作者：
Norris DO
中科院分区：
文献类型：
--
作者：
Metcalf CD;Irvine TA;Sims JL;Wang YL;Su AW;Norris DO
复杂的手灵巧性是我们与物理、社会和文化环境互动的基础。在包括音乐表演在内的一系列活动中，灵巧可以是创造力和精确性的一种表现。由于完成任何给定任务的动作组合的多功能性，人们对复杂的手灵巧性或如何获得精湛的专业知识知之甚少。由于测量手部运动的困难，这在历史上限制了该领域的进展。动作捕捉和分析方法的最新发展意味着现在可以探索手和手指的复杂运动。这些方法使我们能够深入了解复杂手灵巧和运动学习的神经生理机制。它们还允许调查导致损伤、恢复和功能补偿的关键因素。这种分析技术在音乐表演中的应用为有目的地研究器乐表演的学习和技能获得过程提供了一个多学科的框架。这些高技能的手工和认知任务是复杂手灵巧的终极成就。本文将回顾评估音乐中器乐表现的方法，特别关注生物力学测量和测量高度灵巧活动时面临的相关技术挑战。
Complex hand dexterity is fundamental to our interactions with the physical, social, and cultural environment. Dexterity can be an expression of creativity and precision in a range of activities, including musical performance. Little is understood about complex hand dexterity or how virtuoso expertise is acquired, due to the versatility of movement combinations available to complete any given task. This has historically limited progress of the field because of difficulties in measuring movements of the hand. Recent developments in methods of motion capture and analysis mean it is now possible to explore the intricate movements of the hand and fingers. These methods allow us insights into the neurophysiological mechanisms underpinning complex hand dexterity and motor learning. They also allow investigation into the key factors that contribute to injury, recovery and functional compensation. The application of such analytical techniques within musical performance provides a multidisciplinary framework for purposeful investigation into the process of learning and skill acquisition in instrumental performance. These highly skilled manual and cognitive tasks present the ultimate achievement in complex hand dexterity. This paper will review methods of assessing instrumental performance in music, focusing specifically on biomechanical measurement and the associated technical challenges faced when measuring highly dexterous activities.
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