通过触觉反馈的指令识别提高了额肌肌电图界面的可用性

L. Franco, G. Salvietti, D. Prattichizzo
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引用次数: 7

摘要

这项工作提出了一项关于触觉反馈在基于肌电图的额肌界面中识别正确命令检测的有效性的研究。肌电图接口越来越多地用于辅助机器人,以控制机器人利用肌电图信号的可重复性和鲁棒性。然而,在许多应用程序中,关于输入的正确检测的反馈经常被错过,用户必须等待设备的运动,以了解他/她的意志是否已被系统正确检测。我们通过一项涉及15名受试者的用户研究证明,一个简单的振动触觉反馈可以减少肌肉的努力和执行肌电图设备命令的一系列动作所需的时间。作为一个案例研究,已经使用了额肌的肌电接口,但是所提出的结果可以扩展到为其他肌肉设计的肌电接口,例如用于假体或外骨骼控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Command Acknowledge through Tactile Feedback Improves the Usability of an EMG-based Interface for the Frontalis Muscle
This work presents a study on the effectiveness of tactile feedback for the acknowledgement of a correct command detection in an EMG-based interface for the frontalis muscle. EMG interfaces are increasingly used in assistive robotics to control robots exploiting the repeatability and robustness of the electromyographic signal. However, in many application a feedback about the correct detection of an input is often missed and the user has to wait for the device motion in order to understand if his/her will has been correctly detected by the system. We demonstrate with a user study involving fifteen subjects, that a simple vibrotactile feedback can reduce the muscular effort and the time needed to execute a sequence of action commanded by an EMG device. As a case study, an EMG interface for the frontalis muscle has been used, however proposed results could be extended to EMG interfaces designed for other muscles, e.g., for prosthesis or exoskeleton control.
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