Facial expression recognition is an emerging research area for improving human and
computer interaction. This research plays a significant role in the field of social
communication, commercial enterprise, law enforcement, and other computer interactions. In
this paper, we propose a hybrid design for facial expression recognition combining image
pre-processing steps and different Convolutional Neural Network (CNN) structures providing
better accuracy and greatly improved training time. We are predicting seven basic emotions …

Facial expression recognition is very useful for effective human–computer interaction, robot
interfaces, and emotion-aware smart agent systems. This paper presents a new framework
for facial expression recognition by using a hybrid model: a combination of convolutional
neural networks (CNNs) and a support vector machine (SVM) classifier using dynamic facial
expression data. In order to extract facial motion characteristics, dense facial motion flows
and geometry landmark flows of facial expression sequences were used as inputs to the …