Automated Facial Expression Recognition has remained a challenging and interesting
problem in computer vision. The recognition of facial expressions is difficult problem for …

Research on emotion recognition is witnessing an increasing trend in recent years due to
escalation in stress level of humans. Human emotions in most cases are identified through …

This article proposes a novel framework for the recognition of six universal facial
expressions. The framework is based on three sets of features extracted from a face image …

Abstract Facial Expression Recognition (FER) is inherently data driven. Spontaneous
expressions are substantially different from posed expressions. Spontaneous facial …

Facial expression recognition is one of the hotspots in the fields of computer vision and deep
learning. It has very important applications in the domains of learning service …

This paper proposes a novel method to recognize facial expression through Active
Appearance Model (AAM) to extract facial regions based on Facial Action Coding System …

Communication is fundamental to humans. In the literature, it has been shown through many
scientific research studies that human communication ranges from 54 to 94 percent is non …

Accurate detection of driver's eye state by computer vision is critical to driver drowsiness
monitoring. The histogram of oriented gradients (HOG) is commonly used as descriptive …

Today Human Computer Interaction (HCI) is one of the most important topics in machine
vision and image processing fields. Through features can get beneficial information about …

Emotional expressions are the most important as it encodes non-verbal ways of expressing
interior emotions and intentions. The facial action coding system (FACS) is a suitable …