Facial expression analysis smile photos

Forming specific facial expressions influences emotions and perception. Bearing this in mind, studies should be reconsidered in which observers expressing neutral emotions inferred personal traits from the facial expressions of others. However, they were not asked to intentionally change their emotional state. Observers judged happy expression images as more trustworthy, competent, warm, friendly, and distinctive than disgusted expression images, regardless of the observers' own facial expression. Observers judged disgusted expression images as more dominant than happy expression images.
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Forming Facial Expressions Influences Assessment of Others' Dominance but Not Trustworthiness

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Forming Facial Expressions Influences Assessment of Others' Dominance but Not Trustworthiness

The human face is powered, depending on how you count them, by between 23 and 43 muscles, many of which attach to the skin, serving no obvious function for survival. Tugging on the forehead, eyebrows, lips and cheeks, the muscles broadcast a wealth of information about our emotional state, level of interest and alertness. It is a remarkably efficient means of communication—almost instantaneous, usually accurate, transcending most language and cultural barriers. But sometimes the data is lost, ignored or misinterpreted. If a logger smiles in the forest with no one around to see him, was he actually happy? Rana el Kaliouby hates to see that information go to waste.
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Facial smile detection based on deep learning features

Someone is fidgeting in a long line at an airport security gate. Can data science tell us why? Is that person simply nervous about the wait?
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Facial expressions are important in facilitating human communication and interactions. Also, they are used as an important tool in behavioural studies and in medical rehabilitation. Facial image based mood detection techniques may provide a fast and practical approach for non-invasive mood detection.
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