Paper
16 December 2021 Invasive BCI and noninvasive BCI with VR/AR technology
Yunying Zhang
Author Affiliations +
Proceedings Volume 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021); 121530U (2021) https://doi.org/10.1117/12.2626640
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 2021, Sanya, China
Abstract
Virtual Reality (VR), a scientific method and technology created by the human being during the process of exploring nature, help human understand nature, and then better adapt and utilize the natural resource. Brain-Computer Interface (BCI), a direct connection between the brain of a human or animal and an external device, provides a straightforward communication pathway, which might be used as a potential input solution for VR technology. In recent years, with the maturity of VR technology and the breakthrough of BCI technology, combing these two technologies is becoming more and more possible. Moreover, many companies and scientists have started their research and develop new technology using BCI with VR or AR system. Once the new technology comes out, there will be a huge change in the world. People can realize virtual social, virtual office, and even live in a virtual world. This paper will further discuss the research objectives and future application of VR/AR technology combined with invasive and non-invasive BCI. Discussing separately BCI used as perceptual devices and interaction devices of VR/AR systems. This study found that various types of brain-computer interfaces are potential auxiliary tools for future XR products such as VR/AR glasses.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunying Zhang "Invasive BCI and noninvasive BCI with VR/AR technology", Proc. SPIE 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 121530U (16 December 2021); https://doi.org/10.1117/12.2626640
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KEYWORDS
Brain-machine interfaces

Virtual reality

Brain

Augmented reality

Human-machine interfaces

Glasses

Electroencephalography

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