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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...

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書誌詳細
主要な著者:	Mazher, M., Aziz, A.A., Malik, A.S.
フォーマット:	論文
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2017
オンライン･アクセス:	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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