EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification
Joint Authors
Wang, Ting
Guan, Sheng-Uei
Man, Ka Lok
Ting, T. O.
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466216