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AbstractHuman-system interaction may be improved by using proactive systems that detect, measure, and assess a user’s cognitive state in real time via diagnostic neurophysiological sensors and appropriate classification methods. The electroencephalography (EEG) task engagement index (TEI), a...
AbstractThe P300 speller brain-computer interface (BCI) provides a means of communication for those suffering from advanced neuromuscular diseases such as amyotrophic lateral sclerosis (ALS). Recent literature has incorporated language-based modeling, which uses previously chosen characters and...
AbstractIn this paper, we investigated selective attention to auditory stimuli as a control mechanism for a Brain–Computer Interface (BCI). For BCIs using visual stimuli, the use of steady state or code modulated visual evoked potentials yields high performance. In this work, these approaches...
AbstractNon-invasive brain–computer interface (BCI) technology can restore communication for those unable to communicate due to loss of muscle control. Nonetheless, compared to augmentative and alternative communication (AAC) devices requiring muscular control, BCIs provide relatively slow...
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