A multi-target brain-computer interface based on code modulated visual evoked potentials

EEG Filtering Optimization for Code-Modulated Chromatic Visual Evoked Potential-Based Brain-Computer Interface

We present visual BCI classification accuracy improved results after application of high– and low–pass filters to an electroencephalogram (EEG) containing code–modulated visual evoked potentials (cVEPs). The cVEP responses are applied for the brain–computer interface (BCI) in four commands paradigm mode. The purpose of this project is to enhance BCI accuracy using only the single trial cVEP res...

A Brain-Computer Interface Based on Steady State Visual Evoked Potentials for Controlling a Robot

In this paper a brain computer interface (BCI) based on steady state visual evoked potentials (SSVEP) is presented. For stimulation a box equipped with LEDs (for forward, backward, left and right commands) is used that flicker with different frequencies (10, 11, 12, 13 Hz) to induce the SSVEPs. Eight channels of EEG were derived mostly over visual cortex for the experiment with 3 subjects. To c...

Stimulus Specificity of Brain-Computer Interfaces Based on Code Modulation Visual Evoked Potentials

A brain-computer interface (BCI) based on code modulated visual evoked potentials (c-VEP) is among the fastest BCIs that have ever been reported, but it has not yet been given a thorough study. In this study, a pseudorandom binary M sequence and its time lag sequences are utilized for modulation of different stimuli and template matching is adopted as the method for target recognition. Five exp...

Brain Computer Interface Based on the Flash Onset and Offset Visual Evoked Potentials

Severe motor disabilities can limit one’s ability in communication, especially for patients suffering from amyotrophic lateral sclerosis (ALS), severe cerebral palsy, head trauma, multiple sclerosis, and muscular dystrophies who are incapable of conveying their intentions (locked-in syndrome) to the external environment. For the last several decades, a considerable amount of research effort has...

Steady-State Visual Evoked Potentials to Drive a Brain Computer Interface