Age-group membership effects on explicit emotional facial expressions recognition have been widely demonstrated. In this study we investigated whether Age-group membership could also affect implicit physiological responses, as facial mimicry and autonomic regulation, to observation of emotional facial expressions. To this aim, facial Electromyography (EMG) and Respiratory Sinus Arrhythmia (RSA)...

Previous studies have shown that oxytocin improves the encoding and recognition of facial expressions, which has been proposed to be mediated by an increased exploration of the eye region during face processing. In the present study, we used eye tracking to assess visual attention to the eye region while participants performed a dynamic facial emotion recognition task. In a double-blind, placeb...

The recognition of basic emotions in everyday communication involves interpretation of different visual and auditory clues. The ability to recognize emotions is not clearly determined as their presentation is usually very short (micro expressions), whereas the recognition itself does not have to be a conscious process. We assumed that the recognition from facial expressions is selected over the...

Automatic facial expression analysis is vital in identifying the emotional state of a human being. Hence it is an essential tool for human-computer interaction. Success of a facial expression recognition system largely depends on selecting suitable and effective facial features. This paper proposes a novel approach for recognizing facial expression where facial feature is represented by complet...

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...

The purpose of the present study was to determine sex differences in facial, prosodic, and social context emotional recognition in schizophrenia (SCH). Thirty-eight patients (SCH, 20 females) and 38 healthy controls (CON, 20 females) participated in the study. Clinical scales (BPRS and PANSS) and an Affective States Scale were applied, as well as tasks to evaluate facial, prosodic, and within a...