The past twenty years have ignited a new spark in the research of Electroencephalogram (EEG), which was pursued to develop innovative Brain Computer Interfaces (BCIs) in order to help severely disabled people live a better life with a high degree of independence. Current BCIs are more theoretical than practical and are suffering from numerous challenges. New trends of research propose combining EEG to other simple and efficient bioelectric inputs such as Electro-oculography (EOG) resulting from eye movements, to produce more practical and robust Hybrid Brain Computer Interface systems (hBCI) or Brain/Neuronal Computer Interface (BNCI). Working towards this purpose, existing research in EOG based Human Computer Interaction (HCI) applications, must be organized and surveyed in order to develop a vision on the potential benefits of combining both input modalities and give rise to new designs that maximize these benefits. Our aim is to support and inspire the design of new hBCI systems based on both EEG and EOG signals, in doing so; first the current EOG based HCI systems were surveyed with a particular focus on EOG based systems for communication using virtual keyboard. Then, a survey of the current EEG-EOG virtual keyboard was performed highlighting the design protocols employed. We concluded with a discussion of the potential advantages of combining both systems with recommendations to give deep insight for future design issues for all EEG-EOG hBCI systems. Finally, a general architecture was proposed for a new EEG-EOG hBCI system. The proposed hybrid system completely alters the traditional view of the eye movement features present in EEG signal as artifacts that should be removed; instead EOG traces are extracted from EEG in our proposed hybrid architecture and are considered as an additional input modality sharing control according to the chosen design protocol.

中文翻译：

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基于EEG-EOG的虚拟键盘：面向混合脑计算机接口。

在过去的20年中，脑电图（EEG）的研究点燃了新的火花，致力于开发创新的脑部计算机接口（BCI），以帮助重度残疾人士更好地生活并享有高度的独立性。当前的BCI更具理论性而不是实用性，并且正面临众多挑战。研究的新趋势建议将EEG与其他简单有效的生物电输入（例如眼动产生的眼电图（EOG））相结合，以产生更实用，更强大的混合脑计算机接口系统（hBCI）或脑/神经计算机接口（BNCI） 。为此目的，基于EOG的人机交互（HCI）应用程序的现有研究 必须进行组织和调查，以便对结合两种输入方式的潜在收益形成看法，并提出使这些收益最大化的新设计。我们的目的是支持和启发基于EEG和EOG信号的新型hBCI系统的设计；首先，对当前基于EOG的HCI系统进行了调查，并特别关注基于EOG的使用虚拟键盘进行通信的系统。然后，对当前的EEG-EOG虚拟键盘进行了调查，突出了所采用的设计协议。最后，我们讨论了将两种系统与建议结合使用的潜在优势，以深入了解所有EEG-EOG hBCI系统的未来设计问题。最后，针对新的EEG-EOG hBCI系统提出了通用架构。拟议的混合系统完全改变了脑电信号中眼动特征的传统观点，即应去除的假象；取而代之的是，在我们提出的混合体系结构中，从EEG中提取了EOG轨迹，并根据所选的设计协议将其视为附加的输入模式共享控件。