Analysis and Evaluation of Ecg Signal for Emotion Recognition using Computational Intelligence

Abstract

In this thesis, a novel affective computational system has been designed for recognition of newlineemotional states i.e. calm, stress and anger by analyzing ECG morphological features pattern. For newlinevalidation of this research, an authentic ECG real-time data of 17 drivers is used which was newlineacquired in emotion simulated pathways.