任务(项目管理)
灵活性(工程)
电动机控制
计算机科学
运动(音乐)
运动技能
控制(管理)
运动学习
人机交互
物理医学与康复
动力学(音乐)
认知心理学
心理学
人工智能
神经科学
工程类
医学
教育学
哲学
统计
数学
系统工程
美学
作者
Subing Huang,Jodie J. Xie,Kelvin Y. S. Lau,Richard Liu,Arthur D. P. Mak,Vincent C. K. Cheung,Rosa H. M. Chan
标识
DOI:10.1088/1741-2552/ad4594
摘要
Abstract Objective . This research aims to reveal how the synergistic control of upper limb muscles adapts to varying requirements in complex motor tasks and how expertise shapes the motor modules. Approach . We study the muscle synergies of a complex, highly skilled and flexible task—piano playing—and characterize expertise-related muscle-synergy control that permits the experts to effortlessly execute the same task at different tempo and force levels. Surface EMGs (28 muscles) were recorded from adult novice ( N = 10) and expert ( N = 10) pianists as they played scales and arpeggios at different tempo-force combinations. Muscle synergies were factorized from EMGs. Main results . We found that experts were able to cover both tempo and dynamic ranges using similar synergy selections and achieved better performance, while novices altered synergy selections more to adapt to the changing tempi and keystroke intensities compared with experts. Both groups relied on fine-tuning the muscle weights within specific synergies to accomplish the different task styles, while the experts could tune the muscles in a greater number of synergies, especially when changing the tempo, and switch tempo over a wider range. Significance . Our study sheds light on the control mechanism underpinning expertise-related motor flexibility in highly skilled motor tasks that require decade-long training. Our results have implications on musical and sports training, as well as motor prosthetic design.
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