Evaluation of a congruent auditory feedback for Motor Imagery BCI
Emmanuel Christophe (PRISM), J\'er\'emy Frey, Richard, Kronland-Martinet (PRISM), Jean-Arthur Micoulaud-Franchi, Jelena Mladenovi\'c, (Potioc), Ga\"elle Mougin (PG, HCP), Jean Vion-Dury (PRISM), Solvi Ystad, (PRISM), Mitsuko Aramaki (PRISM)
TL;DR
This study investigates how congruent auditory feedback can enhance EEG-based motor imagery BCI performance, suggesting a promising alternative feedback modality for improving user outcomes.
Contribution
It introduces the use of congruent auditory feedback in motor imagery BCI, demonstrating its potential to improve classification accuracy.
Findings
Auditory feedback improved EEG classification performance.
Auditory feedback is a promising alternative modality.
Pilot results support further research into auditory feedback in BCI.
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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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Neural dynamics and brain function · Functional Brain Connectivity Studies