Fully online multicommand brain-computer interface with visual neurofeedback using SSVEP paradigm
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Fast Multi-command SSVEP Brain Machine Interface without Training
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Optimization Strategy for SSVEP-Based BCI in Spelling Program Application
ICCET '09 Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01
A survey of stimulation methods used in SSVEP-based BCIs
Computational Intelligence and Neuroscience
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Steady-State Visual Evoked Potentials (SSVEPs) provide researchers with a mechanism for quickly reading users' inputs into a Brain Computer Interface (BCI) without the need for training or surgery. A visual stimulator is necessary to invoke SSVEP responses. This work describes a stimulator that is accurate, portable, and customizable using open source software packages. Two OpenGL toolkits were used in this project for windowing and timing. Originally, the GLUT toolkit was used, but was replaced by the GLFW toolkit that makes use of the most accurate system time available for timing.