A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals
Joint Authors
Mathkour, Hassan
Malik, Aamir Saeed
Bamatraf, Saeed
Hussain, Muhammad
Aboalsamh, Hatim
Qazi, Emad-Ul-Haq
Amin, Hafeez Ullah
Muhammad, Ghulam
Imran, Hafiz Muhammad
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We studied the impact of 2D and 3D educational contents on learning and memory recall using electroencephalography (EEG) brain signals.
For this purpose, we adopted a classification approach that predicts true and false memories in case of both short term memory (STM) and long term memory (LTM) and helps to decide whether there is a difference between the impact of 2D and 3D educational contents.
In this approach, EEG brain signals are converted into topomaps and then discriminative features are extracted from them and finally support vector machine (SVM) which is employed to predict brain states.
For data collection, half of sixty-eight healthy individuals watched the learning material in 2D format whereas the rest watched the same material in 3D format.
After learning task, memory recall tasks were performed after 30 minutes (STM) and two months (LTM), and EEG signals were recorded.
In case of STM, 97.5% prediction accuracy was achieved for 3D and 96.6% for 2D and, in case of LTM, it was 100% for both 2D and 3D.
The statistical analysis of the results suggested that for learning and memory recall both 2D and 3D materials do not have much difference in case of STM and LTM.
American Psychological Association (APA)
Bamatraf, Saeed& Hussain, Muhammad& Aboalsamh, Hatim & Qazi, Emad-Ul-Haq& Malik, Aamir Saeed& Amin, Hafeez Ullah…[et al.]. 2015. A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099804
Modern Language Association (MLA)
Bamatraf, Saeed…[et al.]. A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1099804
American Medical Association (AMA)
Bamatraf, Saeed& Hussain, Muhammad& Aboalsamh, Hatim & Qazi, Emad-Ul-Haq& Malik, Aamir Saeed& Amin, Hafeez Ullah…[et al.]. A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals. Computational Intelligence and Neuroscience. 2015. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099804
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099804