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Enhancing motor skill learning by manipulating extrinsic and intrinsic components of the motor task

通过操纵运动任务的外在和内在组成部分来增强运动技能学习

基本信息

批准号：
21K17789
负责人：
Barradas Victor
金额：
$ 1.83万
依托单位：
Tokyo Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Early-Career Scientists
财政年份：
2021
资助国家：
日本
起止时间：
2021-04-01 至 2024-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K17789/
关键词：
speed of motor learning manipulability ellipse target distribution muscle co-contraction motor learning

项目摘要

The main objective of this project is to identify intrinsic and extrinsic factors that can be exploited to increase the speed of learning a motor task. Following the success of my computational model to enhance the speed of learning in an isometric task, I have now applied the model to a more complex dynamic reaching task. In this task, the factors that influence the speed of learning are the dynamic manipulability ellipse of the arm, and the distribution of arm states during the task. This allows to make predictions about the effect of variables such as arm posture and arm mass in the speed of learning a dynamic task. In parallel, I have also developed a system that allows the directed learning of desired muscle activations via EMG-biofeedback in a virtual polishing task.

这个项目的主要目标是确定内在和外在的因素，可以利用，以提高学习速度的运动任务。在我的计算模型成功地提高了等距任务的学习速度之后，我现在已经将该模型应用于更复杂的动态到达任务。在该任务中，影响学习速度的因素是手臂的动态可操作性椭圆，以及任务期间手臂状态的分布。这允许预测诸如手臂姿势和手臂质量等变量对学习动态任务的速度的影响。与此同时，我还开发了一个系统，该系统允许通过虚拟抛光任务中的EMG生物反馈来定向学习所需的肌肉激活。