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A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals

Electroencephalography (EEG) has been widely adopted for investigating brain behavior in different cognitive tasks e.g. learning and memory. In this paper, we propose a pattern recognition system for discriminating the true and false memories in case of short-term memory (STM) for 3D and 2D educatio...

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Main Authors: Bamatraf, Saeed, Hussain, Mohammad, Aboalsamh, Hatim, Mathkour, Hassan, Malik, Aamir Saeed, Amin, Hafeez Ullah, Muhammad, Ghulam, Qazi, Emad-Ul-Haq
Format: Conference or Workshop Item
Published: 2015
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://eprints.utp.edu.my/11820/1/A%20system%20based%20on%203D%20and%202D%20educational%20contents%20for%20true%20and%20false%20memory%20prediction%20using%20EEG%20signals.pdf
http://eprints.utp.edu.my/11820/
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spelling my.utp.eprints.118202016-10-07T01:42:43Z A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals Bamatraf, Saeed Hussain, Mohammad Aboalsamh, Hatim Mathkour, Hassan Malik, Aamir Saeed Amin, Hafeez Ullah Muhammad, Ghulam Qazi, Emad-Ul-Haq Q Science (General) T Technology (General) Electroencephalography (EEG) has been widely adopted for investigating brain behavior in different cognitive tasks e.g. learning and memory. In this paper, we propose a pattern recognition system for discriminating the true and false memories in case of short-term memory (STM) for 3D and 2D educational contents by analyzing EEG signals. The EEG signals are converted to scalp-maps (topomaps) and city-block distance is applied to reduce the redundancy and select the most discriminative topomaps. Finally, statistical features are extracted from selected topomaps and passed to Support Vector Machine (SVM) to predict brain states corresponding to true and false memories. A sample of thirty four healthy subjects participated in the experiments, which consist of two tasks: learning and memory recall. In the learning task, half of the participants watched 2D educational contents and half of them watched the same contents in 3D mode. After 30 minutes of retention, they were asked to perform memory recall task, in which EEG signals were recorded. The classification accuracy of 97.5% was achieved for 3D as compared to 96.5% for 2D. The statistical analysis of the results suggest that there is no significant difference between 2D and 3D educational contents on STM in terms of true and false memory assessment. 2015-04 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/11820/1/A%20system%20based%20on%203D%20and%202D%20educational%20contents%20for%20true%20and%20false%20memory%20prediction%20using%20EEG%20signals.pdf Bamatraf, Saeed and Hussain, Mohammad and Aboalsamh, Hatim and Mathkour, Hassan and Malik, Aamir Saeed and Amin, Hafeez Ullah and Muhammad, Ghulam and Qazi, Emad-Ul-Haq (2015) A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals. In: 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER). http://eprints.utp.edu.my/11820/
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, Mohammad
Aboalsamh, Hatim
Mathkour, Hassan
Malik, Aamir Saeed
Amin, Hafeez Ullah
Muhammad, Ghulam
Qazi, Emad-Ul-Haq
A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals
description Electroencephalography (EEG) has been widely adopted for investigating brain behavior in different cognitive tasks e.g. learning and memory. In this paper, we propose a pattern recognition system for discriminating the true and false memories in case of short-term memory (STM) for 3D and 2D educational contents by analyzing EEG signals. The EEG signals are converted to scalp-maps (topomaps) and city-block distance is applied to reduce the redundancy and select the most discriminative topomaps. Finally, statistical features are extracted from selected topomaps and passed to Support Vector Machine (SVM) to predict brain states corresponding to true and false memories. A sample of thirty four healthy subjects participated in the experiments, which consist of two tasks: learning and memory recall. In the learning task, half of the participants watched 2D educational contents and half of them watched the same contents in 3D mode. After 30 minutes of retention, they were asked to perform memory recall task, in which EEG signals were recorded. The classification accuracy of 97.5% was achieved for 3D as compared to 96.5% for 2D. The statistical analysis of the results suggest that there is no significant difference between 2D and 3D educational contents on STM in terms of true and false memory assessment.
format Conference or Workshop Item
author Bamatraf, Saeed
Hussain, Mohammad
Aboalsamh, Hatim
Mathkour, Hassan
Malik, Aamir Saeed
Amin, Hafeez Ullah
Muhammad, Ghulam
Qazi, Emad-Ul-Haq
author_facet Bamatraf, Saeed
Hussain, Mohammad
Aboalsamh, Hatim
Mathkour, Hassan
Malik, Aamir Saeed
Amin, Hafeez Ullah
Muhammad, Ghulam
Qazi, Emad-Ul-Haq
author_sort Bamatraf, Saeed
title A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals
title_short A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals
title_full A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals
title_fullStr A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals
title_full_unstemmed A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals
title_sort system based on 3d and 2d educational contents for true and false memory prediction using eeg signals
publishDate 2015
url http://eprints.utp.edu.my/11820/1/A%20system%20based%20on%203D%20and%202D%20educational%20contents%20for%20true%20and%20false%20memory%20prediction%20using%20EEG%20signals.pdf
http://eprints.utp.edu.my/11820/
_version_ 1738655983809331200
score 13.211869

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