Evaluation of rehearsal effects of multimedia content based on EEG using machine learning algorithms
Rehearsal is a common phenomenon of practicing something to make it more resilient in long-term memory. This paper will present the rehearsal effects based on electroencephalography (EEG) recorded data for multimedia contents. Three frequency based features are used to discriminate the three learnin...
| Main Authors: | Mazher, M., Aziz, A.A., Malik, A.S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20193 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011982183&doi=10.1109%2fICIAS.2016.7824134&partnerID=40&md5=6b2ddd5a893c7f942c2a3a4365074a7f http://eprints.utp.edu.my/20193/ |
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