HCMay 18, 2018

Evaluation of a congruent auditory feedback for Motor Imagery BCI

arXiv:1805.07064v24 citations
AI Analysis

This addresses the challenge of enhancing BCI usability for users through better feedback, but it appears incremental as it builds on existing feedback methods.

The paper tackled the problem of improving motor imagery brain-computer interface (BCI) performance by designing a congruent auditory feedback, and the result showed that this feedback improved classification in a pilot study, indicating a promising alternative modality.

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.

Foundations

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