Next Article in Journal
Quantified EEG for the Characterization of Epileptic Seizures versus Periodic Activity in Critically Ill Patients
Previous Article in Journal
Depression Treatment Status of Economically Disadvantaged African American Older Adults
Previous Article in Special Issue
Abnormal Emotional Processing and Emotional Experience in Patients with Peripheral Facial Nerve Paralysis: An MEG Study
Open AccessEditorial

Brain–Computer Interfaces: Toward a Daily Life Employment

by Pietro Aricò 1,2,3,*, Nicolina Sciaraffa 1,2 and Fabio Babiloni 1,2,3,4
Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy
BrainSigns srl, Lungotevere Michelangelo 9, 00192, Rome, Italy
IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Via Ardeatina, 306, 00179 Rome, Italy
College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China
Author to whom correspondence should be addressed.
Brain Sci. 2020, 10(3), 157;
Received: 6 March 2020 / Accepted: 8 March 2020 / Published: 9 March 2020
Recent publications in the Electroencephalogram (EEG)-based brain–computer interface field suggest that this technology could be ready to go outside the research labs and enter the market as a new consumer product. This assumption is supported by the recent advantages obtained in terms of front-end graphical user interfaces, back-end classification algorithms, and technology improvement in terms of wearable devices and dry EEG sensors. This editorial paper aims at mentioning these aspects, starting from the review paper “Brain–Computer Interface Spellers: A Review” (Rezeika et al., 2018), published within the Brain Sciences journal, and citing other relevant review papers that discussed these points. View Full-Text
Keywords: passive brain–computer interface (pBCI); EEG headsets; daily life applications passive brain–computer interface (pBCI); EEG headsets; daily life applications
Show Figures

Figure 1

MDPI and ACS Style

Aricò, P.; Sciaraffa, N.; Babiloni, F. Brain–Computer Interfaces: Toward a Daily Life Employment. Brain Sci. 2020, 10, 157.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop