The Expectation Based Eye-Brain-Computer Interface: An Attempt of Online Test

Y. O. Nuzhdin, S. Shishkin, A. A. Fedorova, A. Trofimov, E. P. Svirin, B. Kozyrskiy, A. A. Medyntsev, Ignat A. Dubynin, B. Velichkovsky
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引用次数: 7

Abstract

In this preliminary study we tested online a new Eye-Brain-Computer Interface (EBCI) for selection of positions on a screen with a combination of gaze based control and a passive brain-computer interface (BCI). This hybrid BCI was trained offline to recognize the electroencephalogram (EEG) patterns recorded during gaze dwells intentionally used to make moves in a computer game. The patterns were presumably related to expectation of the interface feedback. In the online test, 500 ms gaze dwells led to actions each time the BCI classified them as intentional. When the BCI made a miss, a participant could still communicate the intention by prolonging the dwell up to 1000 ms. Also playing the game was possible, it was found that defining the ground truth for such an online system is not trivial and that further efforts will be needed to evaluate the performance of the expectation based EBCI reliably.
基于期望的眼-脑-机接口:在线测试的尝试
在这项初步研究中,我们在线测试了一种新的眼-脑-机接口(EBCI),用于选择屏幕上的位置,该接口结合了基于凝视的控制和被动脑-机接口(BCI)。这种混合脑机接口在离线状态下进行训练,以识别在电脑游戏中有意用于移动的凝视驻留期间记录的脑电图(EEG)模式。这些模式大概与对界面反馈的期望有关。在在线测试中,每次500毫秒的凝视都会导致BCI将其归类为有意的行为。当脑机接口失误时,参与者仍然可以通过延长停留时间达1000毫秒来传达意图。玩这个游戏也是可能的,我们发现,为这样一个在线系统定义基础真相并不是微不足道的,需要进一步的努力来可靠地评估基于期望的EBCI的性能。
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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