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首页> 外文期刊>Experimental Brain Research >Sequence-specific implicit motor learning using whole-arm three-dimensional reach movements
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Sequence-specific implicit motor learning using whole-arm three-dimensional reach movements

机译:使用全臂三维到达运动的序列特异性隐式电机学习

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摘要

Implicit motor learning is essential to the acquisition of motor skills. Examination of implicit motor learning, however, has largely involved single-finger button presses or two-dimensional movements of a computer mouse or joystick. The purpose of this study was to examine sequence-specific implicit motor learning during practice of a three-dimensional (3D) whole-arm reach task. Fifteen young, non-disabled individuals completed two consecutive days of practice of a 3D target task presented in a virtual environment with the dominant, right arm. Stimuli were displayed one at a time and alternated between an eight-target random sequence and an eight-target repeated sequence. Movement of the shoulder and elbow was required to successfully capture a target. Performance was indicated by time to complete a sequence (response time) and analyzed by sequence type (random, repeated). Kinematic data (total distance to complete a sequence, peak velocity, and time to peak velocity) were used to determine how movement changed over time. Results showed significant improvements in performance early in practice, regardless of sequence type. However, individuals completed the repeated sequence faster than the random sequence, indicating sequence-specific implicit motor learning. The difference in response time between the sequence types was driven by the total distance of the hand path; the distance traveled for the repeated sequence was shorter than the distance of the random sequence. Examination of implicit motor learning using 3D reach movements provides the opportunity to study learning using whole-arm movements, an important component of many real-world, functional tasks.
机译:隐性电机学习对于获取运动技能至关重要。然而,隐性电机学习的检查主要涉及计算机鼠标或操纵杆的单指按钮或二维运动。本研究的目的是在三维(3D)全臂到达任务的实践期间检查序列特异性隐式电机学习。十五名年轻,非残疾人在具有主导,右臂的虚拟环境中完成了3D目标任务的连续两天。一次显示刺激并在八个目标随机序列和八个靶重复序列之间交替显示一个。需要肩部和肘部的运动来成功捕获目标。按时间表示序列(响应时间)并按序列类型(随机,重复)分析表明性能。运动数据(完成序列的总距离,峰值速度和时间峰值速度)来确定运动如何随时间变化。结果在实践中早期表现出显着改善,无论序列类型如何。然而,个体以比随机序列更快地完成重复序列,指示特定的序列隐式电机学习。序列类型之间的响应时间差异由手路径的总距离驱动;为重复序列行进的距离短于随机序列的距离短。使用3D覆盖机会检查隐式电机学习提供了使用全臂运动来学习学习的机会,这是许多现实世界,功能任务的重要组成部分。

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