A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals
المؤلفون المشاركون
Mathkour, Hassan
Malik, Aamir Saeed
Bamatraf, Saeed
Hussain, Muhammad
Aboalsamh, Hatim
Qazi, Emad-Ul-Haq
Amin, Hafeez Ullah
Muhammad, Ghulam
Imran, Hafiz Muhammad
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-12-24
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099804
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر