The Technology that Unmasks Your Hidden Emotions
Paul Ekman is a famous face reader. The 80-year-old psychologist pioneered the study of facial expressions in the 1970s, creating a catalog of more than 5,000 muscle movements to show how the subtlest wrinkling of the nose or lift of an eyebrow reveal hidden emotions.
Now, a group of young companies are using Dr. Ekman’s research as the backbone of a technology that relies on algorithms to analyze people’s faces and potentially discover their deepest feelings. Collectively, they are amassing an enormous visual database of human emotions, seeking patterns that can predict emotional reactions and behavior on a massive scale.
So far it is being used mostly for market research however this technology could have many uses in society. The technology has the potential to help people or even save lives. For example, Cameras that could sense when a trucker is exhausted might prevent him from falling asleep at the wheel, or putting cameras embedded with emotion sensing software in a classroom, could help teachers determine whether they are holding their students’ attention.
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