Deep BiLSTM neural network model for emotion detection using cross-dataset approach

• Published in: Biomedical signal processing and control Vol. 73; p. 103407
• Main Authors: Joshi, Vaishali M., Ghongade, Rajesh B., Joshi, Aditi M., Kulkarni, Rushikesh V.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2022
• Subjects: Cross-dataset; Deep RNN-BiLSTM; Electroencephalography; Emotions; Electroencephalography; Cross-dataset; Emotions; Deep RNN-BiLSTM

•EEG-based cross-dataset emotion classification approach is used.•The research is carried out using two publicly available datasets, DEAP and SEED, and our own IDEA dataset.•A deep recurrent neural network (D-RNN) based on bidirectional long short-term memory (BiLSTM) used to develop network models...