학술논문
Adapting the P300-Based Brain–Computer Interface for Gaming: A Review
Document Type
Periodical
Author
Source
IEEE Transactions on Computational Intelligence and AI in Games IEEE Trans. Comput. Intell. AI Games Computational Intelligence and AI in Games, IEEE Transactions on. 5(2):141-149 Jun, 2013
Subject
Language
ISSN
1943-068X
1943-0698
1943-0698
Abstract
The P300-based brain–computer interface (P300 BCI) is currently a very popular topic in assistive technology development. However, only a few simple P300 BCI-based games have been designed so far. Here, we analyze the shortcomings of this BCI in gaming applications and show that solutions for overcoming them already exist, although these techniques are dispersed over several different games. Additionally, new approaches to improve the P300 BCI accuracy and flexibility are currently being proposed in the more general P300 BCI research. The P300 BCI, even in its current form, not only exhibits relatively high speed and accuracy, but also can be used without user training, after a short calibration. Taking these facts together, the broader use of the P300 BCI in BCI-controlled video games is recommended.