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二元组中的触觉耦合可改善简单力场中的运动学习。

Haptic Coupling in Dyads Improves Motor Learning in a Simple Force Field.

作者信息

Batson Josiah P, Kato Yasuhiro, Shuster Kathleen, Patton James L, Reed Kyle B, Tsuji Toshiaki, Novak Domen

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4795-4798. doi: 10.1109/EMBC44109.2020.9176261.

Abstract

In dyadic motor learning, pairs of people learn the same motion while their limbs are loosely coupled together using haptic devices. Such coupled learning has been shown to outperform solo learning (including robot-guided learning) for simple one-degree-of-freedom tasks. However, results from more complex tasks are limited and sometimes conflicting. We thus evaluated coupled learning in a two-degree-of-freedom tracking task where participants also had to compensate for a simple force field. Participant pairs were split into two groups: an experiment group that experienced a compliant haptic coupling between participants' hands and a control group that did not. The study protocol consisted of 70 repetitions of 18.9-second tracking trials: 10 initial solo trials with no coupling, 50 "learning" trials (where participants in the experiment group were coupled), and 10 final solo trials with no coupling. The experiment group (coupled) improved their solo tracking performance both in the presence (p = 0.008) and absence (p <; 0.001) of the force field; however, the control group (no coupling) only improved their solo performance in the absence of the force field (p <; 0.001) but not in the presence of the field (p = 0.81). This suggests that dyadic motor learning can outperform solo learning for two-dimensional tracking motions in the presence of a simple force field, though the mechanism by which learning is improved is not yet clear.Clinical Relevance-As motor learning is critical for applications such as motor rehabilitation, dyadic training could be used to achieve a better overall outcome and a faster learning speed in these applications compared to solo training.

摘要

在二元运动学习中,两人一组在使用触觉设备将他们的肢体松散耦合在一起的同时学习相同的动作。对于简单的单自由度任务,这种耦合学习已被证明优于单独学习(包括机器人引导学习)。然而,来自更复杂任务的结果有限,且有时相互矛盾。因此,我们在一个双自由度跟踪任务中评估了耦合学习,在该任务中参与者还必须补偿一个简单的力场。参与者对被分成两组:一组是实验组,参与者的手之间经历顺应性触觉耦合;另一组是对照组,没有这种耦合。研究方案包括70次重复的18.9秒跟踪试验:10次无耦合的初始单独试验、50次“学习”试验(实验组的参与者进行耦合)以及10次无耦合的最终单独试验。实验组(耦合组)在有(p = 0.008)和没有(p < 0.001)力场的情况下都提高了他们的单独跟踪性能;然而,对照组(无耦合组)仅在没有力场的情况下(p < 0.001)提高了他们的单独性能,而在有力场的情况下没有提高(p = 0.81)。这表明,在存在简单力场的情况下,二元运动学习在二维跟踪运动方面可以优于单独学习,尽管学习得到改善的机制尚不清楚。临床相关性——由于运动学习对于运动康复等应用至关重要,与单独训练相比,二元训练可用于在这些应用中获得更好的总体结果和更快的学习速度。

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