Algorithm developed to predict social traits from facial analysis

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Researchers at the Autonomous University of Barcelona in Spain, in cooperation with Princeton University, have developed algorithms to predict personal traits from observing facial features. In a paper published in the journal PLoS ONE, Mario Rojas and associates describe their facial analysis tool that can categorize traits such as attractive, competent, trustworthy, dominant, mean, frightening, extroverted, threatening, and likable. According to a press release, they can achieve accuracies beyond 90%.

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