Title
Towards an accessible use of smartphone-based social networks through brain-computer interfaces.
Abstract
•Asynchronous P300-based Brain-Computer Interface for social network communication.•Social networking BCI assessed for the first time with a motor-disabled population.•The system was tested with 18 motor-disabled subjects and 10 healthy subjects.•Motor-disabled and healthy subjects reached online accuracies of 92.3% and 80.6%.•The accessibility gap in social networks can be successfully bridged in smartphones.
Year
DOI
Venue
2019
10.1016/j.eswa.2018.11.026
Expert Systems with Applications
Keywords
Field
DocType
Brain-computer interface (BCI),Smartphones,Asynchronous control,Social networks,P300 Event-related potentials,Electroencephalography (EEG)
Population,Asynchronous communication,Android (operating system),Social network,Computer science,Expert system,Brain–computer interface,Mobile device,Human–computer interaction,Artificial intelligence,Bluetooth,Machine learning
Journal
Volume
ISSN
Citations 
120
0957-4174
3
PageRank 
References 
Authors
0.41
14
4