Brain⁻Computer Interfaces for Human Augmentation

Davide Valeriani; Caterina Cinel; Riccardo Poli

doi:10.3390/brainsci9020022

Brain⁻Computer Interfaces for Human Augmentation

Brain Sci. 2019 Jan 24;9(2):22. doi: 10.3390/brainsci9020022.

Authors

Davide Valeriani¹, Caterina Cinel², Riccardo Poli³

Affiliations

¹ Department of Otolaryngology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA. davide_valeriani@meei.harvard.edu.
² Brain-Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK. ccinel@essex.ac.uk.
³ Brain-Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK. rpoli@essex.ac.uk.

Abstract

The field of brain⁻computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into control signals for external devices for people with severe disabilities [...].

Publication types

Editorial