NDLI: Exploring day-to-day variability in EEG-based emotion classification

Content Provider	IEEE Xplore Digital Library
Author	Yuan-Pin Lin Tzyy-Ping Jung
Copyright Year	2014
Description	Author affiliation: Inst. for Neural Comput. & Inst. of Eng. in Med., Univ. of California San Diego, La Jolla, CA, USA (Yuan-Pin Lin; Tzyy-Ping Jung)
Abstract	The research of electroencephalography (EEG)-based emotion classification has gained much popularity in the past few years. Researchers continue to seek an optimal machine learning-based pipeline to characterize the associations between complex spatio-spectral EEG dynamics and implicit emotional responses. However, toward a real-life application, addressing the inherent day-to-day variability in EEG signals is also of urgent importance, yet was less concerned in the literature. This study explored the day-to-day EEG variability and tested the feasibility of developing an emotion-classification pipeline that can account for such variability. The empirical results of this study showed that the use of a proper feature extraction, e.g., band-power asymmetries over the fronto-posterior regions, in conjunction with an effective artifact removal method, e.g., independent component analysis, could alleviate the impacts of inter-day variability and improve the classification performance.
Starting Page	2226
Ending Page	2229
File Size	142788
Page Count	4
File Format	PDF
ISBN	9781479938407
DOI	10.1109/SMC.2014.6974255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Feature extraction Brain modeling Pipelines Independent component analysis Training data Music day-to-day variability EEG-based emotion classification independent component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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