By Jimmy Or (Editor)
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Additional resources for Affective Computing, Focus on Emotion Expression, Synthesis and Recognition
Because these cues serve as the immediate context for facial expressions they can plausibly affect the interpretation we give to the facial movement. Stereotypic beliefs elicited by facial appearance, such as beliefs that men are more likely to show anger and women more likely to smile, also can impact our interpretation of expressions. It is our view that gaze, physiognomy and emotion expressions use a shared signal system in which some signals are functionally equivalent whereas others serve to reinforce each other.
IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1-12, September 2003. M. Buenaposada, E. Munoz, and L. Baumela. Efficiently estimating facial expression and illumination in appearance-based tracking. In British Machine Vision Conference, 2006. P. Chandrasiri, T. Naemura, and H. Harashima. Interactive analysis and synthesis of facial expressions based on personal facial expression space. In IEEE International Conference on Automatic Face and Gesture Recognition, 2004. I. Cohen, N.
1999) are more typical for men than for women. At the same time men are perceived as more likely to be angry (Fischer, 1993) and angry faces appear more dominant. , 2007). Conversely, the features that make a person seem more warm and welcoming, babyfacedness (Berry & McArthur, 1985), are more common in women. , 2007). Darwin (1872/1965) was one of the first to note the equivalence between certain emotional behaviors in animals and more enduring morphological appearance characteristics. For example, he argued that piloerection and the utterance of harsh sounds by ‘angry’ animals are ‘voluntarily’ enacted to make the animal appear larger and hence a more threatening adversary (see for example, p.
Affective Computing, Focus on Emotion Expression, Synthesis and Recognition by Jimmy Or (Editor)