Brain-Computer Interface Based on Operator Blinks to Control the Drone

Daniyar Wolf, A. Iskhakova
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Abstract

The progress in the development of robotics in the last decade around the world allows us to say that today this field of science is very relevant. The list of problems still includes the issues of control signal transmission - including the possibility of using various neural interfaces, such as oculographic, based on electroencephalogram signals, exoskeleton and others is actively investigated. The work investigates the possibility of reading the operator's control signal in the form of blinks by means of the electroencephalogram. The authors present a scheme of the approach, a description of the software prototype and examples of its operation. The study has shown that the approach of transmitting a control signal through the operator's eye blinks using a brain-computer interface allows you to control the robot in real time. This development can be applied to create a control system for an unmanned aerial vehicle or other robot.
基于操作者眨眼的脑机接口控制无人机
在过去的十年里,机器人技术在世界各地的发展进步使我们能够说,今天这一科学领域是非常相关的。问题列表仍然包括控制信号传输的问题-包括使用各种神经接口的可能性,例如基于脑电图信号的眼图,外骨骼和其他正在积极研究。这项工作探讨了通过脑电图以眨眼的形式读取操作员控制信号的可能性。作者给出了该方法的方案、软件原型的描述和操作实例。研究表明,使用脑机接口通过操作者眨眼传递控制信号的方法可以让你实时控制机器人。这一发展可以应用于为无人驾驶飞行器或其他机器人创建控制系统。
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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