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Evaluation of a congruent auditory feedback for Motor Imagery BCI

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Abstract

Designing a feedback that helps participants to achieve higher performances is an important concern in brain-computer interface (BCI) research. In a pilot study, we demonstrate how a congruent auditory feedback could improve classification in a electroencephalography (EEG) motor imagery BCI. This is a promising result for creating alternate feedback modality.

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Computer Science [cs] Human-Computer Interaction [cs.HC]
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https://hal.inria.fr/hal-01794900

Submitted on : Monday, May 21, 2018-11:32:32 PM

Last modification on : Sunday, June 26, 2022-2:01:26 AM

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Dates and versions

hal-01794900 , version 1 (18-05-2018)
hal-01794900 , version 2 (21-05-2018)

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Emmanuel Christophe, Jérémy Frey, Richard Kronland-Martinet, Jean-Arthur Micoulaud-Franchi, Jelena Mladenović, et al.. Evaluation of a congruent auditory feedback for Motor Imagery BCI. International BCI meeting, May 2018, Asilomar, United States. . ⟨hal-01794900v2⟩

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