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Robotic and Virtual Reality BCIs Using Spatial Tactile and Auditory Oddball Paradigms

机译:使用空间触觉和听觉奇异球范例的机器人和虚拟现实BCI

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The paper reviews nine robotic and virtual reality (VR) brain–computer interface (BCI) projects developed by the author, in collaboration with his graduate students, within the BCI–lab research group during its association with University of Tsukuba, Japan. The nine novel approaches are discussed in applications to direct brain-robot and brain-virtual-reality-agent control interfaces using tactile and auditory BCI technologies. The BCI user intentions are decoded from the brainwaves in realtime using a non-invasive electroencephalography (EEG) and they are translated to a symbiotic robot or virtual reality agent thought-based only control. A communication protocol between the BCI output and the robot or the virtual environment is realized in a symbiotic communication scenario using an user datagram protocol (UDP), which constitutes an internet of things (IoT) control scenario. Results obtained from healthy users reproducing simple brain-robot and brain-virtual-agent control tasks in online experiments support the research goal of a possibility to interact with robotic devices and virtual reality agents using symbiotic thought-based BCI technologies. An offline BCI classification accuracy boosting method, using a previously proposed information geometry derived approach, is also discussed in order to further support the reviewed robotic and virtual reality thought-based control paradigms.
机译:这篇论文回顾了作者与他的研究生在BCI-lab研究小组与日本筑波大学合作期间开发的9个机器人和虚拟现实(VR)脑-计算机接口(BCI)项目。在使用触觉和听觉BCI技术指导脑机器人和脑虚拟现实剂控制界面的应用中,对这九种新颖方法进行了讨论。使用非侵入性脑电图(EEG)实时从脑波中解码BCI用户意图,并将其转换为共生机器人或仅基于思想的虚拟现实代理控制。使用用户数据报协议(UDP)在共生通信场景中实现BCI输出与机器人或虚拟环境之间的通信协议,该协议构成了物联网(IoT)控制场景。从健康用户获得的结果可以通过在线实验重现简单的大脑机器人和大脑虚拟代理控制任务,从而支持了使用基于共生思想的BCI技术与机器人设备和虚拟现实代理进行交互的可能性的研究目标。还讨论了使用先前提出的信息几何派生方法的离线BCI分类准确性提高方法,以进一步支持所审查的基于机器人和虚拟现实思想的控制范式。

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