tomsons22

Hi, I've benn working with a group of people developing brain computer interfaces (BCI) using the Emotiv Epoc neuroheadset. Until now we have been working on two different BCIs, one speller based on the P300 signal, and one based on SSVEP (steady state visually evoked potentials). These two BCIs work fine, they are kind of accurate. Now we want to design a BCI that doesn't need external stimuli, based on motor imaginery. We began recently with this project, but in this case we are not getting the results we expected (although we still have a few things to improve). With high density EEGs people have developed accurate BCIs based on motor imaginery. These EEG have higher spatial resolution (more electrodes), higher sampling frequency and provide a higher signal to noise ratio. I wanted to know what other people in the subject think. Do you believe that resolution of the signals that can be obtained with the Emotiv Epoc is not enough to develop these BCIs? Or we have to improve the processing stage and the clasiffication algorithm? Thanks! Tomas