Your inner emotions will be identified by a software A US company has developed a new software that can analyse a human face to tell if a person is feeling joy, sadness, anger and disgust among other emotions - and it can even catch a fake smile. The software, called Facet, uses a simple digital camera to determine whether a person is feeling joy, sadness, surprise, anger, fear, disgust, contempt or any combination of the seven emotions. Theres often a disconnect between what people say and what people do and what people think, said Marian Bartlett, co-founder and lead scientist at Emotient, a California-based company. The software can reconnect those dots by accurately reading the emotions registering on a persons face in a single photograph or video frame, LiveScience reported. Using Facet on a video sequence produces even more interesting results, because the software can track the fluctuations and strengths of emotion over time, and even capture microexpressions, or little flickers of emotion that pass over peoples faces before they can control themselves or are even aware they have registered an emotion. Even when somebody wants to keep a neutral face, you get microexpressions, Bartlett said. That is because the human body has two different motor systems for controlling facial muscles, and the spontaneous one is slightly faster than the primary motor system, which controls deliberate motion. That means microexpressions will slip out - and as long as they appear on a single frame of video footage, Facet can recognise them, the company claims. The software can also pick up on other subtle facial signs that a human might miss. In the case of smiling, but not with your eyes, Bartlett said that when people smile sincerely, a muscle called the orbicularis oculi, also known as the crows feet muscle, contracts, creating the wrinkles at the eyes edge that are sometimes called crows feet. Bartlett said Emotient is now working on, among other things, the softwares potential for identifying and treating depression
Posted on: Mon, 03 Feb 2014 07:18:01 +0000
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