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Smart textiles that teach: Fabric-based haptic device improves the rate of motor learning
arXiv - CS - Human-Computer Interaction Pub Date : 2021-06-11 , DOI: arxiv-2106.06332
Vivek Ramachandran, Fabian Schilling, Amy Wu, Dario Floreano

People learn motor activities best when they are conscious of their errors and make a concerted effort to correct them. While haptic interfaces can facilitate motor training, existing interfaces are often bulky and do not always ensure post-training skill retention. Here, we describe a programmable haptic sleeve composed of textile-based electroadhesive clutches for skill acquisition and retention. We show its functionality in a motor learning study where users control a drone's movement using elbow joint rotation. Haptic feedback is used to restrain elbow motion and make users aware of their errors. This helps users consciously learn to avoid errors from occurring. While all subjects exhibited similar performance during the baseline phase of motor learning, those subjects who received haptic feedback from the haptic sleeve committed 23.5% fewer errors than subjects in the control group during the evaluation phase. The results show that the sleeve helps users retain and transfer motor skills better than visual feedback alone. This work shows the potential for fabric-based haptic interfaces as a training aid for motor tasks in the fields of rehabilitation and teleoperation.

中文翻译:

教学的智能纺织品:基于织物的触觉设备提高了运动学习的速度

当人们意识到自己的错误并齐心协力纠正错误时,他们学习运动活动的效果最好。虽然触觉界面可以促进运动训练,但现有的界面通常很笨重,并不总是能确保训练后的技能保留。在这里,我们描述了一种可编程触觉套筒,由基于纺织品的电粘附离合器组成,用于技能获取和保留。我们在一项运动学习研究中展示了它的功能,其中用户使用肘关节旋转来控制无人机的运动。触觉反馈用于限制肘部运动并使用户意识到他们的错误。这有助于用户有意识地学习避免错误的发生。虽然所有受试者在运动学习的基线阶段表现出相似的表现,但那些从触觉袖子接收触觉反馈的受试者承诺了 23。在评估阶段,错误比对照组中的受试者少 5%。结果表明,与单独的视觉反馈相比,袖子可以更好地帮助用户保留和转移运动技能。这项工作显示了基于织物的触觉界面作为康复和远程操作领域运动任务训练辅助工具的潜力。
更新日期:2021-06-14
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