增强现实技术在SSVEP-BCI中的应用研究

Yao Wang, Kun Li, Xiang Zhang, Jinhai Wang, Ran Wei
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引用次数: 4

摘要

视觉刺激器在稳态视觉诱发电位(SSVEP)脑机接口(BCI)中起着重要作用。传统的显示器限制了SSVEP-BCI的应用。增强现实作为一种新的视觉刺激模式,在SSVEP-BCI的实际应用中具有更大的灵活性。在本研究中,刺激界面分别由液晶显示器和HoloLens呈现。可行性实验比较了HoloLens开关对脑电信号采集的影响。稳定性实验将HoloLens与LCD的闪烁进行了比较。SSVEP的准确性证明了HoloLens在SSVEP- bci中的可行性和稳定性。首先,在脑电信号采集过程中,HoloLens的精度与传统显示器的精度一致。实验证明,HoloLens的应用不会影响脑电信号的采集。其次,将AR诱发的SSVEP与传统显示诱发的SSVEP进行比较,当数据长度为0.5 s、1.0 s、1.5 s、2.0 s和2.5 s时,AR环境下脑电信号分类准确率分别为44.27%、83.85%、93.23%、98.44%和98.44%。相应的显示准确率分别为73.44%、95.31%、98.44%、99.48%和99.48%。2秒后精度值无差异。HoloLens在SSVEP-BCI的应用中完全可以取代传统的显示。
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Research on the Application of Augmented Reality in SSVEP-BCI
Visual stimulators play an important role in the steady-state visually evoked potential (SSVEP) brain computer interface (BCI). Traditional displays limit the application of SSVEP-BCI. Augmented reality, as a new pattern of visual stimulator, can be more flexible in the practical applications of SSVEP-BCI. In this study, the stimulus interface was presented by liquid crystal display and HoloLens, respectively. The feasibility experiment was to compared the influence on the acquisition of EEG signals when HoloLens was on and off. The stability experiment compared the flicker of HoloLens with LCD. The feasibility and stability of HoloLens in SSVEP-BCI was proved by the accuracy of SSVEP. First, the accuracy of HoloLens's is consistent with the accuracy of traditional display during the acquisition of EEG signals. It was proved that the application of HoloLens will not affect the acquisition of EEG signals. Second, compared the ARinduced SSVEP with traditional display-induced SSVEP, the accuracy of EEG signal classification in AR environment was 44.27%, 83.85%, 93.23%, 98.44% and 98.44% respectively when the data length was 0.5 s, 1.0 s, 1.5 s, 2.0 s and 2.5 s. The corresponding accuracy rate of the display was 73.44%, 95.31%, 98.44%, 99.48% and 99.48%. There was no difference in accuracy values after 2 seconds. HoloLens can completely replace the traditional display in the application of SSVEP-BCI.
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