Approach to collaborative BCI for enhancing human-to-human interaction in shared visual task
Vadim Grubov, Innopolis University
Vladimir Maksimenko, Innopolis University
Abstract
In the present study we analyzed human brain activity during bistable visual stimuli classification task. We aimed to find a specific characteristic based on this activity, that would be able to evaluate human’s attention and alertness, and, thus, can be used in brain-computer interface. We performed corresponding experimental work and analyzed obtained data by means of time-frequency and statistical analysis. According to the obtained results we proposed an approach to collaborative BCI aimed to enhance human-to-human interaction while performing shared visual task. We also describe the setup for such BCI and its possible application in long task of classifying ambiguous visual stimuli with varying degrees of ambiguity by a group of people.
Speaker
Vadim Grubov
Innopolis University
Russia
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