expression recognition (happy, sad, disgust, surprise, angry, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression recognition techniques detecting emotion of people’ using their facial expressions. This has found applications in technical fields such as Human-computer-Interaction (HCI) and security monitoring. It generall...

Methods to assess individual facial actions have potential to shed light on important behavioral phenomena ranging from emotion and social interaction to psychological disorders and health. However, manual coding of such actions is labor intensive and requires extensive training. To date, establishing reliable automated coding of unscripted facial actions has been a daunting challenge impeding ...

Writers, artists, lay observers, and many behavioral scientists, such as William James, have long believed that emotional expression reveals something fundamental about the life an individual leads. For several reasons, however, the scientific study of facial expression and personal adjustment has emerged only in the past 15 years. One reason is that reliable methods for measuring facial expres...

Automatic facial expression recognition is an interesting and challenging subject in signal processing, pattern recognition, artificial intelligence, etc. In this paper, a new method of facial expression recognition based on local binary patterns (LBP) and local Fisher discriminant analysis (LFDA) is presented. The LBP features are firstly extracted from the original facial expression images. T...

This research study focuses on the classification that may be accomplished through detection of human facial expression using a Convolutional Neural Network (CNN). The network is able to classify emotions and play music based user's identified expression. suggested approach successfully implicitly classifies into happy, sad, angry, disgusted, fear, neutral by leveraging architecture. By playing...

Objective: Depressed patients harbor maladaptive schemas that distort social reality and impaired facial expression recognition. Thus, this study aims at identifying specific associations among depressive symptoms, early maladaptive schemas, and patterns of for recognizing facially expressed emotions. Methods: 100 subjects diagnosed with depressive symptoms were selected from a larger statisti...

Facial expressions are facial movements reflecting the internal emotional states of a character or in response to social communications. Realistic facial animation should consider at least two factors: believable facial expression visual effect and valid facial movements. However, most research tends to separate these two issues. In this paper, we present a framework for generating facial anima...

Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields such as computer science, medicine, and psychology. HCI research communities also use automated ...

Facial expression analysis is an attractive, challenging and important field of study in facial analysis. It's important applications include many areas such as human–computer interaction, human emotion analysis, biometric authentication, exhaustion detection and data-driven animation. For successful facial expression recognition, the first step is to arrive at an appropriate facial repres...

We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. Expression classification is based on Facial Action Coding System (FACS) action units (AUs), and discrimination is performed using Hidden Markov Models (HMMs). Three methods are developed to extract facial expression in...