Although verbal information is adequate to recognize high-level psychological states, it not compatible with passive and continuous monitoring systems. In this work, emotion-reacting wear using a emotion recognition system operating in real time proposed. Specifically, basic design of wearable system, whose core function estimate emotions by analyzing facial expressions obtained from images, Ba...

Facial expression provides an important behavioural measure for studies of emotion, cognitive processes, and social interaction. Facial expression recognition has recently become a promising research area. Its applications include human-computer interfaces, human emotion analysis, and medical care and cure. In this paper, we are evaluating the performance of PCA and LDA to recognize seven diffe...

A system for detecting and analyzing behavior of a sports person from their facial expression extracted from a sports video from the basis of this project. Shot Segmentation, Object Frame Selection, Image Segmentation, Facial Feature Extraction and Facial Expression Recognition (FER) are the major steps included in developing Cognitive Analysis of Facial Expression Recognition system from Sport...

Facial Expression is a significant role in affective computing and one of the non-verbal communication for human computer interaction. Automatic recognition affects has become more challenging interesting problem recent years. features to recognize emotion daily life. Recognition System (FERS) can be developed application affect analysis, health care assessment, distance learning, driver fatigu...

In this paper, we address the analysis and recognition of facial expressions in continuous videos. More precisely, we study classifiers performance that exploit head pose independent temporal facial action parameters. These are provided by an appearance-based 3D face tracker that simultaneously provides the 3D head pose and facial actions. The use of such tracker makes the recognition poseand t...

Capturing and analyzing the correlations among facial parts are important for interpreting facial behaviors precisely. In this paper, we exploit Canonical Correlation Analysis (CCA) to model the correlations of facial parts for facial expression analysis. We propose a Matrix-based Canonical Correlation Analysis (MCCA) for better correlation analysis on 2D image or matrix data in general. Extens...