Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment
EURASIP Journal on Applied Signal Processing
Nonnegative matrix factorization for motor imagery EEG classification
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Fast Multi-command SSVEP Brain Machine Interface without Training
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Computational Intelligence and Neuroscience
Research frontier: VEP-based brain-computer interfaces: time, frequency, and code modulations
IEEE Computational Intelligence Magazine
Presence: Teleoperators and Virtual Environments
Brain Computer Interfaces for inclusion
Proceedings of the 1st Augmented Human International Conference
A survey of stimulation methods used in SSVEP-based BCIs
Computational Intelligence and Neuroscience
An open source stimulator for SSVEP-based BCIs
Proceedings of the 50th Annual Southeast Regional Conference
Presence: Teleoperators and Virtual Environments
Brain-Computer interface games: towards a framework
ICEC'12 Proceedings of the 11th international conference on Entertainment Computing
Computers and Electrical Engineering
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We propose a new multistage procedure for a real-time brain-machine/computer interface (BCI). The developed system allows a BCI user to navigate a small car (or any other object) on the computer screen in real time, in any of the four directions, and to stop it if necessary. Extensive experiments with five young healthy subjects confirmed the high performance of the proposed online BCI system. The modular structure, high speed, and the optimal frequency band characteristics of the BCI platform are features which allow an extension to a substantially higher number of commands in the near future.