Wang Haohong, Gao Shenghao, Zhao Yimin, Song Maojia, Wang Heng, D. Rompapas
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引用次数: 0
Abstract
Many researchers are exploring the use of Brain Computer Interfaces (BCI) in combination with Internet of Things (IoT) tools, and robotic control. However, the training and application process for BCI controls can be difficult to achieve partially due to the required double-attention of both the target matter, and the on screen feedback loop used during training. Enter Augmented Reality (AR), a technique for embedding computer generated content (CG) in the user’s view of the environment. In this research, we describe a system that explores the combination of a BCI training environment with AR technologies for both training and run time usage. We show the key advantage of this combination, allowing the user to focus directly on the subject matter. While our work is in the prototype phase, we show that this combination of AR and BCI has the potential to be effective in the training and usage of BCI interfaces.