Inferring imagined speech using EEG signals: a new approach using Riemannian manifold features.

Journal: Journal of neural engineering
Published Date:

Abstract

OBJECTIVE: In this paper, we investigate the suitability of imagined speech for brain-computer interface (BCI) applications.

Authors

  • Chuong H Nguyen
    School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, United States of America.
  • George K Karavas
  • Panagiotis Artemiadis