Recently, brain-computer interface (BCI) system is aiming to provide user-friendly and intuitive means of communication. Imagined speech has become an alternative neuro-paradigm for communicative BCI since it relies directly on a person's speech production process, rather than using speech-unrelated neural activity as the method of communication. Together with the current trends on BCI, we suggest a brain-to-speech (BTS) system that operates by real-time decoding of multi-class imagined speech electroencephalography (EEG). Using the thirteen-class imagined speech data of nine subjects, we performed pseudo-online analysis in order to investigate the potential use of virtual BTS system in the real-world. Average accuracy of 46.54 % (chance level = 7.7 %) and 75.56 % (chance level = 50 %) was acquired in the thirteen-class and binary pseudo-online analysis, respectively. Together with the pseudo-online analysis of imagined speech decoding, we suggest possible form of future applications of imagined speech BCI as means of intuitive BCI communication. We provide potential applications on virtual smart home system and virtual assistant controlled by imagined speech. The virtual BTS system in this paper displays the possible form of real-world application and online training platform.
翻译:最近,大脑-计算机界面(BCI)系统(BCI)旨在提供方便用户和直观的交流手段。想象式演讲已经成为交流性BCI的替代神经型模型,因为它直接依赖一个人的语音制作过程,而不是使用与语音无关的神经活动作为通信方法。与当前BCI的趋势一起,我们建议采用脑对语音系统(BTS),通过实时解码,实时解码多级模拟语音模拟语音电算法(EEEG)操作。我们利用九个科目的13级想象式语音数据,进行了假线上分析,以调查虚拟BTS系统在现实世界的潜在用途。平均精度为46.54%(chance 水平= 7.7%)和75.56%(chance 水平=50%)是在13级和二进制假线分析中分别获得的。与想象式语音解码分析(EEEG)一起,我们建议未来应用想象式BCI系统(ECI)作为虚拟虚拟虚拟语音演示平台的智能虚拟应用手段。我们建议,通过虚拟智能虚拟图像系统提供虚拟软化软化软化软化的软纸平台应用。