Subject independent emotion recognition system for people with facial deformity: an EEG based approach

• Published in: Journal of ambient intelligence and humanized computing Vol. 12; no. 2; pp. 2311 - 2320
• Main Authors: Pandey, Pallavi, Seeja, K. R.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021; Springer Nature B.V
• Subjects: Accuracy; Artificial Intelligence; Artificial neural networks; Classification; Computational Intelligence; Continuous wavelet transform; Deformities; Electrodes; Electroencephalography; Emotion recognition; Emotions; Engineering; Fourier transforms; Image processing; Neural networks; Original Research; Performance evaluation; Robotics and Automation; Time series; User Interfaces and Human Computer Interaction; Wavelet transforms; Affective computing; Valence arousal model; Scalogram; Convolutional neural network

Emotion recognition from Electroencephalography (EEG) is a better choice for the people with facial deformity like where facial data is not accurate or not available for example burned or paralyzed faces. This research exploits the image processing capability of convolutional neural network (CNN) an...