Emotion Recognition in Valence-Arousal Space from Multi-channel EEG data and Wavelet based Deep Learning Framework
Authors:
- Divya GargDivya Garg
- Gyanendra K. VermaGVGyanendra K. Verma
Open Access
- 1 January 2020
- journal article
- research article
- Published by Elsevier in Procedia Computer Science
- Vol. 171, 857-867
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine2015
- Going deeper with convolutions2015
- Robust EEG emotion classification using segment level decision fusion2013
- DEAP: A Database for Emotion Analysis ;Using Physiological SignalsIEEE Transactions on Affective Computing, 2011
- A comparison of dimensional models of emotion: Evidence from emotions, prototypical events, autobiographical memories, and wordsMemory, 2009
- An affective circumplex model of neural systems subserving valence, arousal, and cognitive overlay during the appraisal of emotional facesNeuropsychologia, 2008
- Enhancing Universal Access – EEG Based Learnability Assessment2007
- An argument for basic emotionsCognition and Emotion, 1992
- A circumplex model of affect.Journal of Personality and Social Psychology, 1980
- Conditioned emotional reactions.Journal of Experimental Psychology, 1920