@inproceedings{74d6ec770f1747f2a5dd2c2745ba86ee,
title = "Multiclass Classification of EEG Motor Imagery Signals Based on Transfer Learning",
abstract = "Multiclass Classification of EEG signal is essential for brain computer interface (BCI) applications but extremely time consuming. We proposed a subject-weighted adaptive transfer learning method in conjunction with MLP and CNN classifiers for fast classification of multiclass EEG dataset.Analytic results show that CNN generally outperforms MLP in this multi-class classification. The use of transfer learning is efficient for building the predictive model without decreasing the accuracy and 2D CNN is more robust to between-subject variabilities.",
keywords = "Deep Learning, EEG, Transfer Learning, multi-category classification",
author = "Chen, {Chun Yu} and Wang, {Wei Jen} and Chen, {Chun Chuan}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th International Conference on Applied System Innovation, ICASI 2022 ; Conference date: 21-04-2022 Through 23-04-2022",
year = "2022",
doi = "10.1109/ICASI55125.2022.9774441",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2022 8th International Conference on Applied System Innovation, ICASI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "140--143",
editor = "Shoou-Jinn Chang and Sheng-Joue Young and Lam, {Artde Donald Kin-Tak} and Liang-Wen Ji and Prior, {Stephen D.}",
booktitle = "Proceedings of the 2022 8th International Conference on Applied System Innovation, ICASI 2022",
}