Brain–Computer Interfaces for Human Augmentation
Department of Otolaryngology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA
Brain-Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
Author to whom correspondence should be addressed.
Received: 21 January 2019 / Accepted: 22 January 2019 / Published: 24 January 2019
Note: In lieu of an abstract, this is an excerpt from the first page.
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 [...]
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MDPI and ACS Style
Valeriani, D.; Cinel, C.; Poli, R. Brain–Computer Interfaces for Human Augmentation. Brain Sci. 2019, 9, 22.
Valeriani D, Cinel C, Poli R. Brain–Computer Interfaces for Human Augmentation. Brain Sciences. 2019; 9(2):22.
Valeriani, Davide; Cinel, Caterina; Poli, Riccardo. 2019. "Brain–Computer Interfaces for Human Augmentation." Brain Sci. 9, no. 2: 22.
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