Motor Imagery Classification for Brain Computer Interface using Deep Convolutional Neural Networks and Mixup Augmentation
<italic>Goal:</italic> Building a DL model that can be trained on small EEG training set of a single subject presents an interesting challenge that this work is trying to address. In particular, this study is trying to avoid the need for long EEG data collection sessions, and without com...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
| Online Access: | http://scholars.utp.edu.my/id/eprint/33889/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141601510&doi=10.1109%2fOJEMB.2022.3220150&partnerID=40&md5=7008622fa0e2cf117d6d10a68fe70539 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|