ERNN: A biologically inspired feedforward neural network to discriminate emotion from EEG signal

• Main Authors: Khosrowabadi, Reza, Quek, Chai, Ang, Kai Keng, Abdul Rahman, Abdul Wahab
• Format: Article
• Language: English; English
• Published: IEEE Computational Intelligence Society 2014
• Subjects: QA75 Electronic computers. Computer science; TL500 Aeronautics
• Online Access: http://irep.iium.edu.my/36713/1/36713.pdf; http://irep.iium.edu.my/36713/3/36713_A%20biologically%20inspired%20feedforward%20neural_Scopus.pdf; http://irep.iium.edu.my/36713/

Emotions play an important role in human cognition, perception, decision making, and interaction. This paper presents a six-layer biologically inspired feedforward neural network to discriminate human emotions from EEG. The neural network comprises a shift register memory after spectral filtering fo...