نتایج جستجو برای: facial bioelectric signals
تعداد نتایج: 249761 فیلتر نتایج به سال:
Human facial expressions can be recognized rapidly and effortlessly. However, for intense emotions from real life, positive and negative facial expressions are difficult to discriminate and the judgment of facial expressions is biased towards simultaneously perceived body expressions. This study employed event-related potentials (ERPs) to investigate the neural dynamics involved in the integrat...
Laughter communicates a feeling of enjoyment across cultures, while non-verbal vocalizations of several other positive emotions, such as achievement or sensual pleasure, are recognizable only within, but not across, cultural boundaries. Are these positive vocalizations nevertheless interpreted cross-culturally as signaling positive affect? In a match-to-sample task, positive emotional vocal sti...
This paper reports results from a program that produces high quality animation of facial expressions and head movements as automatically as possible in conjunction with meaning-based speech synthesis, including spoken intonation. The goal of the research is as much to test and define our theories of the formal semantics for such gestures, as to produce convincing animation. Towards this end we ...
This paper presents a hierarchical animation method for transferring facial expressions extracted from a performance video to different facial sketches. Without any expression example obtained from target faces, our approach can transfer expressions by motion retargetting to facial sketches. However, in practical applications, the image noise in each frame will reduce the feature extraction acc...
Cognitive research has long been aware of the relationship between individual differences in personality and performance on behavioural tasks. However, within the field of cognitive neuroscience, the way in which such differences manifest at a neural level has received relatively little attention. We review recent research addressing the relationship between personality traits and the neural re...
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...
Typically, facial expressions convey conversational signals and signs of attitudinal states—such as interest and boredom—that are usually displayed as one or few facial muscle actions, such as raising the eyebrows in disbelief. Instead of classifying facial expressions into a few basic emotion categories, we attempt to measure a large range of facial behaviour by recognizing facial muscle actio...
Emotional facial expressions are thought to have evolved because they play a crucial role in species' survival. From infancy, humans develop dedicated neural circuits [1] to exhibit and recognize a variety of facial expressions [2]. But there is increasing evidence that culture specifies when and how certain emotions can be expressed - social norms - and that the mature perceptual mechanisms us...
Recent research indicates that (a) the perception and expression of facial emotion are lateralized to a great extent in the right hemisphere, and, (b) whereas facial expressions of emotion embody universal signals, culture-specific learning moderates the expression and interpretation of these emotions. In the present article, we review the literature on laterality and universality, and propose ...
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