Automated Face And Response Analysis By Attribute Tracking And Expression Recollection

Abstract

“Emotional Peculiarity is often caused due of physiological fatigue and fatigue can be further divided into various types. This paper focuses for the solution of the problem, by adopting an emotional detection method based on deep learning in various data sets. The notion and the various classes of emotional fatigue are introduced. Further, a multi - modal data emotional fatigue system is designed with the help of various statistical data sets. In the system, electrocardiograms (ECG) data features and emotional text features for emotional fatigue detection are extracted using multi-channel convolutional aotoencoder neural network. Further, the network structure of learning ECG and process of CNN classifier are explained   in detail. This paper also focuses on an output which is formed after comparing all the possible scenarios in which comparison of images with various data sets, picture extraction using CNN and simulating ECG data sets with image data sets to give a precise result. Finally, multimodal data features are combined for emotional detection and also provide the knowledge regarding the type of fatigueness.”