Generating personalized facial emotions using emotional EEG signals and conditional generative adversarial networks

• Published in: Multimedia tools and applications Vol. 83; no. 12; pp. 36013 - 36038
• Main Authors: Esmaeili, Masoumeh, Kiani, Kourosh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2024; Springer Nature B.V
• Subjects: Classification; Computer Communication Networks; Computer Science; Customization; Data Structures and Information Theory; Electroencephalography; Emotion recognition; Emotions; Feature recognition; Generative adversarial networks; Human-computer interface; Image reconstruction; Labels; Multimedia Information Systems; Special Purpose and Application-Based Systems; Track 2: Medical Applications of Multimedia; Reconstruction; conditional Generative Adversarial Network (cGAN); Emotion; Electroencephalogram (EEG); Common Spatial Pattern (CSP); Bidirectional Long Short-Term Memory (BiLSTM)

Facial expressions are one of the most effective and straightforward ways of conveying our emotions and intentions. Therefore, it is crucial to conduct research aimed at developing a Brain Computer Interface (BCI) that can assist individuals with facial motor disabilities in expressing their emotion...