EEG-based emotion recognition using LSTM-RNN machine learning algorithm

Abstract

In recent days the knowledge in the Brain Machine Interface is manifesting emotion recognition and classification. There are many studies indicating potential evidence in identifying emotions using EEG brain waves. This paper investigates and proposes a new machine learning technology in identifying the emotions through the use of latest machine learning concepts using LSTN ( Long short term memory) recurring neural networks. The acquired brain wave signals are processed for classification using discrete wavelet transform and then given to the proposed algorithm for specific emotion recognition.