A gaze independent hybrid-BCI based on visual spatial attention

Journal of Neural Engineering
John M EganE Lalor

Abstract

Brain-computer interfaces (BCI) use measures of brain activity to convey a user's intent without the need for muscle movement. Hybrid designs, which use multiple measures of brain activity, have been shown to increase the accuracy of BCIs, including those based on EEG signals reflecting covert attention. Our study examined whether incorporating a measure of the P3 response improved the performance of a previously reported attention-based BCI design that incorporates measures of steady-state visual evoked potentials (SSVEP) and alpha band modulations. Subjects viewed stimuli consisting of two bi-laterally located flashing white boxes on a black background. Streams of letters were presented sequentially within the boxes, in random order. Subjects were cued to attend to one of the boxes without moving their eyes, and they were tasked with counting the number of target-letters that appeared within. P3 components evoked by target appearance, SSVEPs evoked by the flashing boxes, and power in the alpha band are modulated by covert attention, and the modulations can be used to classify trials as left-attended or right-attended. We showed that classification accuracy was improved by including a P3 feature along with the SSVEP and alpha ...Continue Reading

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Citations

Apr 18, 2020·Psychophysiology·Brendan Z AllisonJing Jin
May 18, 2019·Applied Psychophysiology and Biofeedback·Jean-Arthur Micoulaud-FranchiFrançois Vialatte
Nov 16, 2018·Scientific Reports·Yoji OkaharaKenji Kansaku

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