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Likewise, the system could recognize if we like the video we are watching, or if we can adapt to the videogame we are playing according to our facial reactions. Through machine learning and reading facial expressions, a car will be able to understand if he or she is distracted, tired or about to fall asleep. Similarly, the system could recognize if we like the video we are watching, or if a videogame can adapt to the player based on his or her facial reactions. What will facial microexpressions be used for? On the basis of the universality of emotions that Ekman has recognized, every human being can facially manifest positive and negative emotions such as joy, surprise, excitement, happiness, relief, fun, anger, disgust, sadness, fear, embarrassment, satisfaction and shame. On the contrary, they are experienced all over the world. According to Ekman, facial expressions and emotions do not depend on cultural factors – as demonstrated by his research on the population of Papua New Guinea, far from the media and cultural influences of other countries. With the FACS system, Ekman and Friesen created the taxonomy of every human facial expression. Normally, our facial expressions exceed this duration. Every emotional expression of the human face, which has a duration of a quarter of a second, is called a microexpression. Some people have the ability to find out when people are lying, but it’s not our topic in this article. In 2000, Ekman made changes that updated the FACS system according to the most recent research he conducted.Īccording to this system, each AU reflects an emotion that cannot be hidden or concealed. Its influence came from the system previously developed by the Swedish anatomist, Carl-Herman Hjortsjö, in 1969. Friesen, developed a facial expression coding system known as the Facial Action Coding System ( FACS).
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In 1978, Paul Ekman, one of the 100 most influential psychologists of the twentieth century, and his colleague, Wallace V. In the Science of Emotions, every muscular movement of our face is called Action Unit (AU). Why not? It is because facial expressions tell us much more than what we really say. In all these cases, we can say that emotions are not always expressed in words. What happens when we are surprised? Our jaws drop. If we are sad, we can “ read” it in our faces. As the great Italian singer-songwriter, Lucio Battisti, sang in the ’70s «you can’t understand, but you can call them emotions» (from the original lyrics of his song entitled Emozioni: « Capire tu non puoi.
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It’s something about us, our lives and Affectiva. Facial microexpressions and algorithms of emotions recognition in the Big Data era.
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