Motor Imagery Classification for Brain Computer Interface Using Deep Metric Learning
Deep metric learning (DML) has achieved state-of-the-art results in several deep learning applications. However, this type of deep learning models has not been tested on the classification of electrical brain waves (EEG) for brain computer interface (BCI) applications. For the first time, we propose...
| Main Authors: | Alwasiti, H., Yusoff, M.Z., Raza, K. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23225 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087279627&doi=10.1109%2fACCESS.2020.3002459&partnerID=40&md5=131d21e15985a293397fc8e33731293c http://eprints.utp.edu.my/23225/ |
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