Mental imagery classification using one-dimensional convolutional neural network for target selection in single-channel BCI-controlled mobile robot

This paper introduces the use of the one-dimensional convolutional neural network (1D-CNN) for end-to-end EEG decoding with application towards a BCI system with a shared control scheme. In general, subjects wearing a single-channel EEG electrode located at F8 (10–20 international standards) were re...

Full description

Saved in:
Bibliographic Details
Main Authors: Izzuddin, Tarmizi Ahmad, Mat Safri, Norlaili, Othman, Mohd. Afzan
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/91114/
http://dx.doi.org/10.1007/s00521-020-05393-6
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia