A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals

The advances in 3D consumer technology has raised the question whether 3D educational contents are more effective than their 2D counterparts for learning and memory retention/recall. Electroencephalography (EEG) brain signals have been extensively studied to decode human brain activations performing...

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Main Authors: Bamatraf, Saeed, Hussain, Muhammad, Aboalsamh, Hatim, Qazi, Emad-Ul-Haq, Malik, Aamir Saeed, Amin, Hafeez Ullah, Mathkour, Hassan, Muhammad, Ghulam, Muhammad, Hafiz Imran
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Published: 2015
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Online Access:http://eprints.utp.edu.my/11805/1/A%20System%20for%20True%20and%20False%20Memory%20Prediction%20based%20on%202D%20and%203D%20Educational%20Contents%20and%20EEG%20Brain%20Signals%20-%20Provisional%20PDF.pdf
http://eprints.utp.edu.my/11805/
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spelling my.utp.eprints.118052016-10-07T01:42:39Z A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals Bamatraf, Saeed Hussain, Muhammad Aboalsamh, Hatim Qazi, Emad-Ul-Haq Malik, Aamir Saeed Amin, Hafeez Ullah Mathkour, Hassan Muhammad, Ghulam Muhammad, Hafiz Imran Q Science (General) T Technology (General) The advances in 3D consumer technology has raised the question whether 3D educational contents are more effective than their 2D counterparts for learning and memory retention/recall. Electroencephalography (EEG) brain signals have been extensively studied to decode human brain activations performing different tasks. We studied the impact of 2D and 3D educational contents on learning and memory recall using EEG brain signals. For this purpose, a classification approach has been adopted 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 on learning and memory recall. In the proposed approach, EEG brain signals are converted into topomaps (scalp-maps) and then discriminative features are extracted/selected from these topomaps and finally support vector machine (SVM) is employed to predict brain states as true and false memories. For data collection, sixty eight healthy individuals volunteered, half of which watched the learning material in 2D format whereas the second half watched the same material in 3D format. After learning task, memory recall tasks were performed after 30 minutes (for STM) and two months (for 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% both for 2D and 3D. The statistical analysis of the results suggested that for learning and memory recall both 2D and 3D education materials do not have much difference in case of STM and LTM. 2015-11-12 Article PeerReviewed application/pdf http://eprints.utp.edu.my/11805/1/A%20System%20for%20True%20and%20False%20Memory%20Prediction%20based%20on%202D%20and%203D%20Educational%20Contents%20and%20EEG%20Brain%20Signals%20-%20Provisional%20PDF.pdf Bamatraf, Saeed and Hussain, Muhammad and Aboalsamh, Hatim and Qazi, Emad-Ul-Haq and Malik, Aamir Saeed and Amin, Hafeez Ullah and Mathkour, Hassan and Muhammad, Ghulam and Muhammad, Hafiz Imran (2015) A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals. Computational Intelligence and Neuroscience . (In Press) http://eprints.utp.edu.my/11805/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Bamatraf, Saeed
Hussain, Muhammad
Aboalsamh, Hatim
Qazi, Emad-Ul-Haq
Malik, Aamir Saeed
Amin, Hafeez Ullah
Mathkour, Hassan
Muhammad, Ghulam
Muhammad, Hafiz Imran
A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals
description The advances in 3D consumer technology has raised the question whether 3D educational contents are more effective than their 2D counterparts for learning and memory retention/recall. Electroencephalography (EEG) brain signals have been extensively studied to decode human brain activations performing different tasks. We studied the impact of 2D and 3D educational contents on learning and memory recall using EEG brain signals. For this purpose, a classification approach has been adopted 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 on learning and memory recall. In the proposed approach, EEG brain signals are converted into topomaps (scalp-maps) and then discriminative features are extracted/selected from these topomaps and finally support vector machine (SVM) is employed to predict brain states as true and false memories. For data collection, sixty eight healthy individuals volunteered, half of which watched the learning material in 2D format whereas the second half watched the same material in 3D format. After learning task, memory recall tasks were performed after 30 minutes (for STM) and two months (for 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% both for 2D and 3D. The statistical analysis of the results suggested that for learning and memory recall both 2D and 3D education materials do not have much difference in case of STM and LTM.
format Article
author Bamatraf, Saeed
Hussain, Muhammad
Aboalsamh, Hatim
Qazi, Emad-Ul-Haq
Malik, Aamir Saeed
Amin, Hafeez Ullah
Mathkour, Hassan
Muhammad, Ghulam
Muhammad, Hafiz Imran
author_facet Bamatraf, Saeed
Hussain, Muhammad
Aboalsamh, Hatim
Qazi, Emad-Ul-Haq
Malik, Aamir Saeed
Amin, Hafeez Ullah
Mathkour, Hassan
Muhammad, Ghulam
Muhammad, Hafiz Imran
author_sort Bamatraf, Saeed
title A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals
title_short A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals
title_full A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals
title_fullStr A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals
title_full_unstemmed A System for True and False Memory Prediction based on 2D and 3D Educational Contents and EEG Brain Signals
title_sort system for true and false memory prediction based on 2d and 3d educational contents and eeg brain signals
publishDate 2015
url http://eprints.utp.edu.my/11805/1/A%20System%20for%20True%20and%20False%20Memory%20Prediction%20based%20on%202D%20and%203D%20Educational%20Contents%20and%20EEG%20Brain%20Signals%20-%20Provisional%20PDF.pdf
http://eprints.utp.edu.my/11805/
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score 13.18916