基于脑机与眼动追踪相结合技术的无人机智能指挥控制

Xinan Wu, Hongguang Li, Jiaqi Chen
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引用次数: 1

摘要

脑机接口(BCI)和眼动追踪技术是当前研究的主流人机交互技术。目前在无人机指挥控制领域的应用还不成熟。仅依靠脑机接口或眼动追踪技术,成功率很难达到100%。针对无人机智能指挥控制的应用,本文设计了一种基于脑机接口和眼动追踪的高效智能人机交互系统。基于SSVEP的脑电图控制信号用于脑机接口。眼球追踪使用瞳孔中央角膜反射技术。在无人机指挥控制软件界面中,采用眼动追踪技术实时显示眼球固定区域,帮助人眼准确注视命令选项,从而提高依赖视觉刺激的脑机信号的准确性。通过多架无人机编队飞行实验,人机交互系统的指挥控制指令选择成功率达到100%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent command and control of UAV Based on brain computer and eye tracking combined technology
Brain computer interface (BCI) and eye tracking technology are the mainstream human-computer interaction technology in current research. At present, the application in UAV command and control field is not mature. Relying on BCI or eye tracking technology alone, the success rate is difficult to reach 100%. For the application of UAV intelligent command and control, this paper designs an efficient and intelligent human-computer interaction system based on brain computer interface and eye tracking. The EEG control signal based on SSVEP is used in the brain computer interface. Eye tracking uses pupil central corneal reflex technology. In the UAV command and control software interface, eye tracking technology is used to display the eyeball fixation area in real time, which helps the human eye to accurately gaze at the command options, so as to improve the accuracy of brain computer signal relying on visual stimulation. The success rate of command and control command selection of man-machine interaction system reaches 100% through the multi UAV formation flight experiment.
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