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刺激数量对增强现实中稳态视觉诱发电位脑机接口识别准确率和信息传输率的影响

The effect of stimulus number on the recognition accuracy and information transfer rate of SSVEP-BCI in augmented reality.

作者信息

Zhang Rui, Xu Zongxin, Zhang Lipeng, Cao Lijun, Hu Yuxia, Lu Beihan, Shi Li, Yao Dezhong, Zhao Xincan

机构信息

Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, People's Republic of China.

International College, Zhengzhou University, Zhengzhou, 450001, People's Republic of China.

出版信息

J Neural Eng. 2022 May 13;19(3). doi: 10.1088/1741-2552/ac6ae5.

Abstract

. The biggest advantage of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) lies in its large command set and high information transfer rate (ITR). Almost all current SSVEP-BCIs use a computer screen (CS) to present flickering visual stimuli, which limits its flexible use in actual scenes. Augmented reality (AR) technology provides the ability to superimpose visual stimuli on the real world, and it considerably expands the application scenarios of SSVEP-BCI. However, whether the advantages of SSVEP-BCI can be maintained when moving the visual stimuli to AR glasses is not known. This study investigated the effects of the stimulus number for SSVEP-BCI in an AR context.We designed SSVEP flickering stimulation interfaces with four different numbers of stimulus targets and put them in AR glasses and a CS to display. Three common recognition algorithms were used to analyze the influence of the stimulus number and stimulation time on the recognition accuracy and ITR of AR-SSVEP and CS-SSVEP.The amplitude spectrum and signal-to-noise ratio of AR-SSVEP were not significantly different from CS-SSVEP at the fundamental frequency but were significantly lower than CS-SSVEP at the second harmonic. SSVEP recognition accuracy decreased as the stimulus number increased in AR-SSVEP but not in CS-SSVEP. When the stimulus number increased, the maximum ITR of CS-SSVEP also increased, but not for AR-SSVEP. When the stimulus number was 25, the maximum ITR (142.05 bits min) was reached at 400 ms. The importance of stimulation time in SSVEP was confirmed. When the stimulation time became longer, the recognition accuracy of both AR-SSVEP and CS-SSVEP increased. The peak value was reached at 3 s. The ITR increased first and then slowly decreased after reaching the peak value.. Our study indicates that the conclusions based on CS-SSVEP cannot be simply applied to AR-SSVEP, and it is not advisable to set too many stimulus targets in the AR display device.

摘要

基于稳态视觉诱发电位(SSVEP)的脑机接口(BCI)的最大优势在于其庞大的命令集和高信息传输率(ITR)。几乎所有当前的SSVEP-BCI都使用计算机屏幕(CS)来呈现闪烁的视觉刺激,这限制了其在实际场景中的灵活使用。增强现实(AR)技术提供了将视觉刺激叠加到现实世界的能力,并且极大地扩展了SSVEP-BCI的应用场景。然而,当将视觉刺激转移到AR眼镜时,SSVEP-BCI的优势是否能够得以保持尚不清楚。本研究调查了在AR环境中刺激数量对SSVEP-BCI的影响。我们设计了具有四种不同数量刺激目标的SSVEP闪烁刺激界面,并将它们置于AR眼镜和CS中进行显示。使用三种常见的识别算法来分析刺激数量和刺激时间对AR-SSVEP和CS-SSVEP的识别准确率和ITR的影响。AR-SSVEP在基频处的幅度谱和信噪比与CS-SSVEP没有显著差异,但在二次谐波处显著低于CS-SSVEP。在AR-SSVEP中,随着刺激数量的增加,SSVEP识别准确率下降,而在CS-SSVEP中并非如此。当刺激数量增加时,CS-SSVEP的最大ITR也增加,但AR-SSVEP并非如此。当刺激数量为25时,在400毫秒时达到最大ITR(142.05比特/分钟)。证实了刺激时间在SSVEP中的重要性。当刺激时间变长时,AR-SSVEP和CS-SSVEP的识别准确率均提高。在3秒时达到峰值。ITR先增加,在达到峰值后缓慢下降。我们的研究表明,基于CS-SSVEP得出的结论不能简单地应用于AR-SSVEP,并且在AR显示设备中设置过多的刺激目标是不可取的。

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