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Evaluation of a congruent auditory feedback for Motor Imagery BCI

Human-Computer Interaction 2018-05-23 v2
Authors: Emmanuel Christophe , Jérémy Frey , Richard Kronland-Martinet , Jean-Arthur Micoulaud-Franchi , Jelena Mladenović , Gaëlle Mougin , Jean Vion-Dury , Solvi Ystad , Mitsuko Aramaki
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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.

Keywords

brain-computer interface motor imagery auditory feedback eeg classification

Cite

@article{arxiv.1805.07064,
  title  = {Evaluation of a congruent auditory feedback for Motor Imagery BCI},
  author = {Emmanuel Christophe and Jérémy Frey and Richard Kronland-Martinet and Jean-Arthur Micoulaud-Franchi and Jelena Mladenović and Gaëlle Mougin and Jean Vion-Dury and Solvi Ystad and Mitsuko Aramaki},
  journal= {arXiv preprint arXiv:1805.07064},
  year   = {2018}
}

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