Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
- 1 July 2021
- journal article
- research article
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 134, 104428
Abstract
No abstract availableKeywords
Funding Information
- Birla Institute of Technology and Science, Pilani (FR/SCM/150618/EEE)
This publication has 53 references indexed in Scilit:
- EEG differences in children between eyes-closed and eyes-open resting conditionsClinical Neurophysiology, 2009
- Automatic removal of eye movement artifacts from the EEG using ICA and the dipole modelProgress in Natural Science: Materials International, 2009
- EEG differences between eyes-closed and eyes-open resting conditionsClinical Neurophysiology, 2007
- Interoceptive sensitivity and emotion processing: An EEG studyInternational Journal of Psychophysiology, 2007
- Music and emotion: Electrophysiological correlates of the processing of pleasant and unpleasant musicPsychophysiology, 2007
- Emotion recognition in human–computer interactionNeural Networks, 2005
- Emotion recognition in human-computer interactionIEEE Signal Processing Magazine, 2001
- Emotions as Episodes of Subsystem Synchronization Driven by Nonlinear Appraisal Processes2000
- Relative electroencephalographic desynchronization and synchronization in humans to emotional film content: an analysis of the 4–6, 6–8, 8–10 and 10–12 Hz frequency bandsNeuroscience Letters, 2000
- Determining the initial states in forward-backward filteringIEEE Transactions on Signal Processing, 1996