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This study proposes and evaluates a novel monitor for generating visual-evoked potential (VEP) for daily use brain–computer interface (BCI) applications. The backlight of a conventional monitor was replaced with a matrix panel of LEDs to take maximum advantage of both the computer monitor and...
Brain–computer interfaces (BCIs) suffer from a lack of classification accuracy when the number of electroencephalography (EEG) trials is low. This is therefore during the learning of a BCI for a subject, there is no clear protocol to use the captured knowledge of other trained BCIs. To overcome...
Studies on EEG-based mental workload detection generally consider workload exclusively in terms of task demands, as manipulated through the variation of task difficulty. However, mental workload cannot be estimated precisely with the properties of the task alone because different aspects of the...
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