The muscular activities caused the activation of certain AUs for every facial expression at the certain duration of time throughout the facial expression. This paper presents the methods to recognise facial Action Unit (AU) using facial distance of the facial features which activates the muscles. The seven facial action units involved are AU1, AU4, AU6, AU12, AU15, AU17 and AU25 that characteri...

Neuroimaging studies have reported greater activation of the human amygdala in response to emotional facial expressions, especially for fear. However, little is known about how fast this activation occurs. We investigated this issue by recording the intracranial field potentials of the amygdala in subjects undergoing pre-neurosurgical assessment (n=6). The subjects observed fearful, happy, and ...

Background: Numerous previous experiments have used oddball paradigm to study change detection. This paradigm is applied here to study change detection of facial expressions in a context which demands abstraction of the emotional expression-related facial features among other changing facial features. Methods: Event-related potentials (ERPs) were recorded in adult humans engaged in a demanding ...

BACKGROUND This study investigated activation of the anterior cingulate cortex (ACC) and amygdala during the presentation of happy facial affect images in patients with panic disorder (PD) as measured by blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI). METHODS Eight patients with PD and eight sex-matched controls were recruited for the study. Scanning was perf...

Cognitive neuroscience aims to delineate principles of brain-behavior relations by characterizing both common mechanisms across, and individual differences among, individuals. Both approaches are relevant for the study of the amygdala, a critical structure for the processing of emotional signals (1). Consistent activation to fearful facial expressions (2– 4 ) may reflect a shared neural mechani...

Electrophysiological correlates of the processing facial expressions were investigated in subjects performing the rapid serial visual presentation (RSVP) task. The peak latencies of the event-related potential (ERP) components P1, vertex positive potential (VPP), and N170 were 165, 240, and 240 ms, respectively. The early anterior N100 and posterior P1 amplitudes elicited by fearful faces were ...

Although younger and older adults appear to attend to and remember emotional faces differently, less is known about age-related differences in the subjective emotional impression (arousal, potency, and valence) of emotional faces and how these differences, in turn, are reflected in age differences in various emotional tasks. In the current study, we used the same facial emotional stimuli (angry...

Accurate processing of social and affective cues, especially facial cues, is important for human adaptation. Previous studies have examined depressed adults' sensitivity to identify emotional facial expressions, yet only one study has investigated this in depressed youth. In addition, very little is known about whether depressed individuals exhibit biases when incorrectly labeling, or misclassi...

Participants viewed dynamic facial expressions that moved from a neutral expression to varying degrees of angry, happy, or sad or from these emotionally expressive faces to neutral.A contrast effect was observed for expressions that moved to a neutral state. That is, a neutral expression that began as angry was rated as having a mildly positive expression, whereas the same neutral expression wa...

Laughter is an auditory stimulus that powerfully conveys positive emotion. We investigated how laughter influenced the visual perception of facial expressions. We presented a sound clip of laughter simultaneously with a happy, a neutral, or a sad schematic face. The emotional face was briefly presented either alone or among a crowd of neutral faces. We used a matching method to determine how la...