Although Schizophrenia (SCZ) and Autism Spectrum Disorder (ASD) share impairments in emotion recognition, the mechanisms underlying these impairments may differ. The current study used the novel "Emotions in Context" task to examine how the interpretation and visual inspection of facial affect is modulated by congruent and incongruent emotional contexts in SCZ and ASD. Both adults with SCZ (n= ...

Tendency to mimic others' emotional facial expressions predicts empathy and may represent a physiological marker of psychopathy. Anatomical connectivity between amygdala, cingulate motor cortex (M3, M4), and facial nucleus demonstrates a potential neuroanatomical substrate for mimicry, though pharmacological influences are largely unknown. Norepinephrine modulation selectively impairs negative ...

OBJECTIVE It was proposed that the ability to recognize facial emotions is closely related to complex neurocognitive processes and/or skills related to theory of mind (ToM). This study examines whether ToM skills mediate the relationship between higher neurocognitive functions, such as reasoning ability, and facial emotion recognition. METHODS A total of 200 healthy subjects (101 males, 99 fe...

This paper presents a facial expression analysis system that performs recognition and emotional classification of human facial expression from a full-face image. The system consists of four main components. The first component performs face detection in an unstructured image using Artificial Neural Network. The second component is face recognition using Principal Component Analysis. The third c...

This study examines the influence of the geometrical intensity of an emotional facial expression on the perceived intensity and the recognition accuracy. The stimuli consisted of synthetic faces at ten geometrical intensity levels in each of the five emotional categories. A curve–linear relationship was found between geometrical and perceived intensity. Steps of 20% geometrical intensity appear...

Effective Human Computer Intelligent Interaction (HCII) requires the information about the user’s identity, state and intent which can be extracted from images, so that computers can then react accordingly, e.g. systems behaving according to the emotional state of the person. The most expressive way humans display emotions is through facial expressions. Here, we propose an efficient method for ...

Multiple sclerosis (MS) is associated with the occurrence of white matter plaques in the central nervous system. These are frequently located in areas interconnecting areas associated with the processing of emotions. Although recent behavioral studies indicated social and affective disturbances in many of these patients, functional studies investigating specific emotional recognition in MS are ...

This paper addresses the problem of emotion recognition in faces through an intelligent neuro-fuzzy system, which is capable of analysing facial features extracted following the MPEG-4 standard and classifying facial images according to the underlying emotional states, following rules derived from expression profiles. Results are presented which illustrate the capability of the developed system...

The importance of the right hemisphere in emotion perception in general has been well documented but its precise role is disputed. We compared the performance of 30 right hemisphere damaged (RHD) patients, 30 left hemisphere damaged (LHD) patients, and 50 healthy controls on both facial and vocal affect perception tasks of specific emotions. Brain damaged subjects had a single episode cerebrova...

Facial Expressions play an important role in recognizing the human emotions without any verbal communication. Face emotion recognition is one of the main applications of computer vision. The research of emotion recognition includes facial expressions, voice recognition, gesture recognition, text etc. For efficient human-computer interaction, recognizing human emotional state is an important com...