The Library
A mutual information based adaptive windowing of informative EEG for emotion recognition
Tools
Piho, Laura and Tjahjadi, Tardi (2020) A mutual information based adaptive windowing of informative EEG for emotion recognition. IEEE Transactions on Affective Computing, 11 (4). pp. 722-735. doi:10.1109/TAFFC.2018.2840973 ISSN 1939-1374.
|
PDF
WRAP-mutual-information-based-adaptive-windowing-informative-EEG-emotion-recognition-Tjahjadi-2018.pdf - Accepted Version - Requires a PDF viewer. Download (850Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TAFFC.2018.2840973
Abstract
Emotion recognition using brain wave signals involves using high dimensional electroencephalogram (EEG) data. In this paper, a window selection method based on mutual information is introduced to select an appropriate signal window to reduce the length of the signals. The motivation of the windowing method comes from EEG emotion recognition being computationally costly and the data having low signal-to-noise ratio. The aim of the windowing method is to find a reduced signal where the emotions are strongest. In this paper, it is suggested, that using only the signal section which best describes emotions improves the classification of emotions. This is achieved by iteratively comparing different-length EEG signals at different time locations using the mutual information between the reduced signal and emotion labels as criterion. The reduced signal with the highest mutual information is used for extracting the features for emotion classification. In addition, a viable framework for emotion recognition is introduced. Experimental results on publicly available datasets, DEAP and MAHNOB-HCI, show significant improvement in emotion recognition accuracy.
Item Type: | Journal Article | ||||||||
---|---|---|---|---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QP Physiology |
||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Electroencephalography -- Computer programs, Emotions -- Classification | ||||||||
Journal or Publication Title: | IEEE Transactions on Affective Computing | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 1939-1374 | ||||||||
Official Date: | October 2020 | ||||||||
Dates: |
|
||||||||
Volume: | 11 | ||||||||
Number: | 4 | ||||||||
Page Range: | pp. 722-735 | ||||||||
DOI: | 10.1109/TAFFC.2018.2840973 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 30 May 2018 | ||||||||
Date of first compliant Open Access: | 30 May 2018 | ||||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year