Guided Exploration Leads to Faster Familiarization with a Wearable Robot: First Results of an Innovative Protocol.

Gleb Koginov, Peter Wolf, Kai Schmidt, Jaime E Duarte, Robert Riener
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Abstract

Wearable robots show promise in addressing physical and functional deficits in individuals with mobility impairments. However, the process of learning to use these devices can take a long time. In this study, we propose a novel protocol to support the familiarization process with a wearable robot (the Myosuit) and achieve faster walking speeds. The protocol involves applying an anterior pulling force while participants perform a series of 10-meter Walking Tests (10mWT) with or without the Myosuit under various experimental conditions. We hypothesized that guiding the exploration of novel walking patterns can help the users learn to exploit the Myosuit's assistance faster by leading to larger step lengths and ultimately higher walking speeds. In this paper, we present the preliminary results of the protocol with seven participants with lower-limb mobility impairments. Participants who were assisted by the Myosuit showed a continuous increase in walking speed over the course of the pulling part of the experiment with a maximum increase of 41.3% (10.4%) when compared to the baseline 10mWT. Following the removal of the pulling force, these participants continued to show an increased walking speed while being supported by the Myosuit. This higher walking speed was primarily due to a significant increase in step length of 24% (16.6%) and cadence of 11% (8.9%). The results of this study may help the development of familiarization techniques for wearable robots.

引导式探索使人们更快地熟悉可穿戴机器人:创新协议的初步成果。
可穿戴机器人有望解决行动障碍患者的身体和功能缺陷。然而,学习使用这些设备的过程可能需要很长时间。在这项研究中,我们提出了一种新的协议来支持可穿戴机器人(Myosuit)的熟悉过程,并实现更快的步行速度。该方案包括在不同的实验条件下,当参与者在有或没有Myosuit的情况下进行一系列10米步行测试(10mWT)时,施加前拉力。我们假设,指导探索新的行走模式可以帮助用户更快地利用Myosuit的辅助,从而获得更大的步长和最终更高的行走速度。在本文中,我们介绍了该方案的初步结果,有七名下肢活动障碍的参与者。在实验的牵拉部分,在Myosuit的帮助下,参与者的行走速度持续增加,与基线10mWT相比,最大增加了41.3%(10.4%)。在拉力消除后,这些参与者在Myosuit的支撑下继续表现出行走速度的提高。这种较高的步行速度主要是由于步长显著增加了24%(16.6%)和节奏显著增加了11%(8.9%)。这项研究的结果可能有助于开发可穿戴机器人的熟悉技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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