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Sequence-Specific Implicit Motor Learning Using Whole-Arm 3-Dimensional Reach Movements

机译:使用全手臂3维伸手运动进行特定于序列的隐式运动学习

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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 2-dimensional movements of a computer mouse or joystick. The purpose of this study was to demonstrate sequence-specific implicit motor learning in individuals that practiced a 3-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 8-target random sequence and an 8-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:内隐的运动学习对于掌握运动技能至关重要。但是,隐式运动学习的检查主要涉及单指按钮的按下或计算机鼠标或操纵杆的二维运动。这项研究的目的是向实践3维(3D)全臂伸展任务的个人演示特定于序列的隐式运动学习。 15名年轻的非残障人士连续两天完成了在虚拟环境中使用右手支配的3D目标任务的练习。一次显示一个刺激,并在8个目标的随机序列和8个目标的重复序列之间交替显示。要成功捕获目标,必须移动肩膀和肘部。通过完成序列的时间(响应时间)指示性能,并通过序列类型(随机,重复)进行分析。运动学数据(完成一个序列的总距离,峰值速度和达到峰值速度的时间)用于确定运动如何随时间变化。结果表明,无论序列类型如何,在实践初期,性能都会得到显着改善。但是,个人完成重复序列的速度比随机序列要快,这表明特定于序列的隐式运动学习。序列类型之间响应时间的差异是由手路径的总距离决定的。重复序列的行进距离比随机序列的行进距离短。使用3D伸手动作对隐式运动学习的检查提供了使用全臂动作学习学习的机会,全臂动作是许多现实世界中功能性任务的重要组成部分。

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