An automatic Facial Expression Recognition (FER) model with Adaboost face detector, feature selection based on manifold learning and synergetic prototype based classifier has been proposed. Improved feature selection method and proposed classifier can achieve favorable effectiveness to performance FER in reasonable processing time.

The recognition of emotional information is a key step toward giving computers the ability to interact more naturally and intelligently with people. This paper presents a completely automated real-time system for facial expression’s recognition based on facial features’ tracking and a simple emotional classification method. Facial features’ tracking uses a standard webcam and requires no specif...

Behavioural problems are a key feature of frontotemporal lobar degeneration (FTLD). Also, FTLD patients show impairments in emotion processing. Specifically, the perception of negative emotional facial expressions is affected. Generally, however, negative emotional expressions are regarded as more difficult to recognize than positive ones, which thus may have been a confounding factor in previo...

This study investigated the ability of patients with Relapsing-Remitting Multiple Sclerosis (RRMS) to recognize emotional facial expressions. Cognitive deterioration, depression, alexithymia and facial expression recognition ability were assessed in fiftyfive patients and twenty-one controls. Facial expression recognition ability was measured by a forced-choice labeling procedure of five emotio...

The study investigated the relationship between recognition of emotional facial expressions and trait anxiety. A nonclinical sample of 19 participants with high-trait anxiety was selected, using the trait version of the State-Trait Anxiety Inventory, and compared with a sample of 20 participants with low-trait anxiety on a facial expression recognition task. Visual stimuli were 42 faces, repres...

The contributions to the recognition of emotional signals of (a) experience and learning versus (b) internal predispositions are difficult to investigate because children are virtually always exposed to complex emotional experiences from birth. The recognition of emotion among physically abused and physically neglected preschoolers was assessed in order to examine the effects of atypical experi...

Aim of this study was to examine the relation between perception of facial expressions and interpersonal behavior in epilepsy patients after unilateral amygdalohippocampectomy (AH). Nine patients with unilateral amygdalohippocampectomy and 14 controls completed a forced-choice emotional recognition task, in which morphed facial emotional expressions were shown at different emotional intensities...

The paper introduced the present status of speech emotion recognition. In order to improve the single-mode emotion recognition rate, the bimodal fusion method based on speech and facial expression was proposed. The emotional databases of Chinese speech and facial expressions were established with the noise stimulus and movies evoking subjects' emtion. On the foundation, we analyzed the acoustic...

BACKGROUND Serotonin (5-HT) 1A and 2A receptors have been associated with dysfunctional emotional processing biases in mood disorders. These receptors further predominantly mediate the subjective and behavioral effects of psilocybin and might be important for its recently suggested antidepressive effects. However, the effect of psilocybin on emotional processing biases and the specific contribu...