Computational Intelligence and Neuroscience - Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications
Asynchronous BCI control of a robot simulator with supervised online training
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
BCI-based navigation in virtual and real environments
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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A Brain-Computer Interface (BCI) application focused on the control of a wheelchair must consider the danger which a wrong command would involve in a real situation. Virtual reality is a suitable tool to provide subjects with the opportunity to train and test the application before using it under real conditions. Recent studies aimed at such control let the subject decide the timing of the interaction, those are the so-called asynchronous BCI. One way to reduce the probability of misclassification is to achieve control with only two different mental tasks. The system presented in this paper combines the mentioned advantages in a paradigm that enables the control of a virtual wheelchair with three commands: move forward, turn left and turn right. The results obtained over three subjects support the viability of the proposed system.