It is an important question how human beings achieve efficient recognition of others' facial expressions in cognitive neuroscience, and it has been identified that specific cortical regions show preferential activation to facial expressions in previous studies. However, the potential contributions of the connectivity patterns in the processing of facial expressions remained unclear. The present...

Airbnb is an online marketplace for peer-to-peer accommodation rental services. In contrast to traditional rental services, personal profile images, i.e. the sellers' facial images, are present along with the housing on offer. This study aims to investigate the impact of a seller's facial image and their expression upon buyers' behavior in this context. The impact of facial expressions was inve...

Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, however, and emotion expression is far more varied. To capture the full range of emotion expression, automated discrimination of fine-grained changes in facial expression is needed. We developed and implemented an optica...

Recently the facial expression recognition has gained broad concentration and fast progress. In this paper, we give a review for the latest advancement of the domestic and international facial gesture recognition technology. Facial Expression Recognition system includes three steps: face detection, expressional feature extraction and expression classification. We concentrate on the method featu...

Facial expression recognition is a challenging problem in many areas such as computer vision and humancomputer interaction. To extract an effective facial features and then to classify them are the best important points of facial expression recognition process. In this article, a new automatic facial expression recognition algorithm is proposed in order to further enhance the recognition perfor...

Expressions are facial activities invoked by sets of muscle motions, which would give rise to large variations in appearance mainly around facial parts. Therefore, for visual-based expression analysis, localizing the action parts and encoding them effectively become two essential but challenging problems. To take them into account jointly for expression analysis, in this paper, we propose to ad...

In this paper, an approach to the problem of automatic facial feature extraction from a still frontal posed image and classification and recognition of facial expression and hence emotion and mood of a person is presented. Feed forward back propagation neural network is used as a classifier for classifying the expressions of supplied face into seven basic categories like surprise, neutral, sad,...

Facial expression recognition has different applications in the real world. We present a method to identify facial expressions taken from camera and build a parallel facial expression recognition system. A statistical technique such as Principal Component Analysis is used for dimensionality reduction and recognition and widely used for facial feature extraction and recognition. To test and eval...