EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification
المؤلفون المشاركون
Wang, Ting
Guan, Sheng-Uei
Man, Ka Lok
Ting, T. O.
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-16
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Eye state identification is a kind of common time-series classification problem which is also a hot spot in recent research.
Electroencephalography (EEG) is widely used in eye state classification to detect human's cognition state.
Previous research has validated the feasibility of machine learning and statistical approaches for EEG eye state classification.
This paper aims to propose a novel approach for EEG eye state identification using incremental attribute learning (IAL) based on neural networks.
IAL is a novel machine learning strategy which gradually imports and trains features one by one.
Previous studies have verified that such an approach is applicable for solving a number of pattern recognition problems.
However, in these previous works, little research on IAL focused on its application to time-series problems.
Therefore, it is still unknown whether IAL can be employed to cope with time-series problems like EEG eye state classification.
Experimental results in this study demonstrates that, with proper feature extraction and feature ordering, IAL can not only efficiently cope with time-series classification problems, but also exhibit better classification performance in terms of classification error rates in comparison with conventional and some other approaches.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Ting& Guan, Sheng-Uei& Man, Ka Lok& Ting, T. O.. 2014. EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-466216
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Ting…[et al.]. EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-466216
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Ting& Guan, Sheng-Uei& Man, Ka Lok& Ting, T. O.. EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-466216
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-466216
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