NDLI: Compact unsupervised EEG response representation for emotion recognition

Content Provider	IEEE Xplore Digital Library
Author	Xiaodan Zhuang Rozgic, V. Crystal, M.
Copyright Year	2014
Description	Author affiliation: Speech, Language & Multimedia Bus. Unit, Raytheon BBN Technol., Cambridge, MA, USA (Xiaodan Zhuang; Rozgic, V.; Crystal, M.)
Abstract	In this work, we propose a compact and un-supervised EEG response representation. Instead of directly extracting features from the whole response, as is commonly done for EEG signal processing, the proposed representation employs segment-level feature extraction and leverages a robust two-part unsupervised generative model to transform the segment-level features to a low-dimensional vector. The proposed method leads to rich and compact representation capability, and robust unsupervised estimation. While some previous work [1] based on segment-level features needs labeled training responses to transforms segment-level features to a response representation, the proposed method produces an EEG response representation in an unsupervised fashion, which can be directly used in various EEG response classification problems. We perform binary classification and regression of emotion dimensions on the DEAP dataset (Dataset for Emotion Analysis using electroencephalogram, Physiological and Video Signals) and demonstrate competitive performances.
Sponsorship	IEEE Comput. Soc.
Starting Page	736
Ending Page	739
File Size	553831
Page Count	4
File Format	PDF
ISBN	9781479921317
DOI	10.1109/BHI.2014.6864469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Brain modeling Feature extraction Robustness Training Vectors Support vector machines
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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