Emotion Recognition from Physiological Signals Using Parallel Stacked Autoencoders
Emotion Recognition from Physiological Signals Using Parallel Stacked Autoencoders is a scholarly work, published in 2018 in ''Neurophysiology''. The main subjects of the publication include cognitive psychology, pattern recognition, brain–computer interface, arousal, electroencephalography, psychology, electrocardiography, artificial intelligence, emotion recognition, computer science, Low arousal theory, valence, autoencoder, and speech recognition. The authors used a number of physiological signals, including electroencephalogram (EEG), electromyogram (EMG), and other peripheral signals from the DEAP database and extracted spectral and time features from these signals.