Abnormal facial emotion recognition is considered as one of the key symptoms of schizophrenia. Only few studies have considered deficits in the spatial frequency (SF)-dependent visual pathway leading to abnormal facial emotion recognition in schizophrenia. Twenty-one patients with schizophrenia and 19 matched healthy controls (HC) were recruited for this study. Event-related potentials (ERP) we...

Facial expressions in sign language carry a variety of communicative features. While emotion can modulate a spoken utterance through changes in intonation, duration and intensity, in sign language specific facial expressions presented concurrently with a manual sign perform this function. When deaf adult signers cannot see facial features, their ability to judge emotion in a signed utterance is...

This paper discusses Integrated System for Facial Expression Recognition (ISFER), which performs facial expression analysis from a still dual facial view image. The system consists of three major parts: facial data generator, facial data evaluator and facial data analyser. While the facial data generator applies fairly conventional techniques for facial features extraction, the rest of the syst...

Video-based dynamic facial emotion recognition (FER) is a challenging task, as one must capture and distinguish tiny movements representing emotional changes while ignoring the differences of different objects. Recent state-of-the-art studies have usually adopted more complex methods to solve this such large-scale deep learning models or multimodal analysis with reference multiple sub-models. A...

In computer vision, the convolutional neural network (CNN) is a very popular model used for emotion recognition. It has been successfully applied to detect various objects in digital images with remarkable accuracy. this paper, we extracted learned features from pre-trained CNN and evaluated different machine learning (ML) algorithms perform classification. Our research looks at impact of repla...