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Session to session transfer learning method using independent component analysis with regularized common spatial patterns for EEG-MI signals
المؤلفون المشاركون
al-Hakim, Zaynab Majid
Ali, Ramzi S.
المصدر
The Iraqi Journal of Electrical and Electronic Engineering
العدد
المجلد 15، العدد 1 (30 يونيو/حزيران 2019)، ص ص. 13-27، 15ص.
الناشر
تاريخ النشر
2019-06-30
دولة النشر
العراق
عدد الصفحات
15
التخصصات الرئيسية
الموضوعات
الملخص EN
Training the user in Brain-Computer Interface (BCI) systems based on brain signals that recorded using Electroencephalography Motor Imagery (EEG-MI) signal is a time-consuming process and causes tiredness to the trained subject, so transfer learning (subject to subject or session to session) is very useful methods of training that will decrease the number of recorded training trials for the target subject.
To record the brain signals, channels or electrodes are used.
Increasing channels could increase the classification accuracy but this solution costs a lot of money and there are no guarantees of high classification accuracy.
This paper introduces a transfer learning method using only two channels and a few training trials for both feature extraction and classifier training.
Our results show that the proposed method Independent Component Analysis with Regularized Common Spatial Pattern (ICA-RCSP) will produce about 70% accuracy for the session to session transfer learning using few training trails.
When the proposed method used for transfer subject to subject the accuracy was lower than that for session to session but it still better than other methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Hakim, Zaynab Majid& Ali, Ramzi S.. 2019. Session to session transfer learning method using independent component analysis with regularized common spatial patterns for EEG-MI signals. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 15, no. 1, pp.13-27.
https://search.emarefa.net/detail/BIM-892138
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Hakim, Zaynab Majid& Ali, Ramzi S.. Session to session transfer learning method using independent component analysis with regularized common spatial patterns for EEG-MI signals. The Iraqi Journal of Electrical and Electronic Engineering Vol. 15, no. 1 (2019), pp.13-27.
https://search.emarefa.net/detail/BIM-892138
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Hakim, Zaynab Majid& Ali, Ramzi S.. Session to session transfer learning method using independent component analysis with regularized common spatial patterns for EEG-MI signals. The Iraqi Journal of Electrical and Electronic Engineering. 2019. Vol. 15, no. 1, pp.13-27.
https://search.emarefa.net/detail/BIM-892138
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes appendix : p. 22-27
رقم السجل
BIM-892138
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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