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Evaluation of a congruent auditory feedback for Motor Imagery BCI
May 18, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Emmanuel Christophe, JΓ©rΓ©my Frey, Richard Kronland-Martinet, Jean-Arthur Micoulaud-Franchi, Jelena MladenoviΔ, GaΓ«lle Mougin, Jean Vion-Dury, Solvi Ystad, Mitsuko Aramaki
arXiv ID
1805.07064
Category
cs.HC: Human-Computer Interaction
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
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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