Towards an accessible use of smartphone-based social networks through brain-computer interfaces

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Brain-computer interface (BCI),Smartphones,Asynchronous control,Social networks,P300 Event-related potentials,Electroencephalography (EEG)

论文评审过程：Received 12 June 2018, Revised 7 November 2018, Accepted 18 November 2018, Available online 19 November 2018, Version of Record 23 November 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.11.026