Identifying Single Trial Event-Related Potentials in an Earphone-Based Auditory Brain-Computer Interface

Identifying Single Trial Event-Related Potentials in an Earphone-Based Auditory Brain-Computer Interface

As brain-computer interfaces (BCI) must provide reliable ways for end users to accomplish a specific task, methods to secure the best possible translation of the intention of the users are constantly being explored. In this paper, we propose and test a number of convolutional neural network (CNN) st...

Full description

Bibliographic Details
Main Authors: Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Applied Sciences
Subjects:
convolutional neural networks (CNN)
auditory brain-computer interface (BCI)
P300
virtual sound
electroencephalogram (EEG)
pool strategies
classification
Online Access:https://www.mdpi.com/2076-3417/7/11/1197

Similar Items

Similar Items