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...

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Bibliographic Details
Main Authors: Mat Safri, Norlaili, Ahmad Izzuddin, Tarmizi, Othman, Mohd Afzan
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2020
Online Access:http://eprints.utem.edu.my/id/eprint/24842/2/IZZUDDIN2020_ARTICLE_MENTALIMAGERYCLASSIFICATIONUSI%20%281%29.PDF
http://eprints.utem.edu.my/id/eprint/24842/
https://link.springer.com/article/10.1007/s00521-020-05393-6
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Institution: Universiti Teknikal Malaysia Melaka
Language: English