EEG visual and non- Visual learner classification using LSTM recurrent neural networks
The purpose of this study is to distinguish the visual learners from non-visual learners while learning, having no background knowledge of the contents. The learners are distinguished analysing their brain patterns. EEG data were recorded during learning and memory tasks using 128 channels machine f...
| Main Authors: | Jawed, S., Amin, H.U., Malik, A.S., Faye, I. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23543 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062783413&doi=10.1109%2fIECBES.2018.08626711&partnerID=40&md5=86f34114a4e941db77089975febaa9d4 http://eprints.utp.edu.my/23543/ |
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