Cloud Computing: Facial Analytics – What Are You Smiling At?
March 16, 2014
Grazed from InformationWeek. Author: Michael Steinhart.
Some of us have our feelings written all over our faces. Others may pride themselves on being inscrutable. However, when a computer is analyzing our features frame by frame, it can glean insight from even the slightest quirk.
At last week’s Sentiment Analysis Symposium in New York, Jacob Whitehill, a research scientist with Emotient, demonstrated the company’s emotion recognition products. He showed how they isolate the faces in a video stream and track their expressions, from joyful to angry to sad. "It has many commercial applications," he said…
Emotient provides an API that enables real-time emotional analysis and offers highly accurate readings of positive, negative, and neutral emotions based on cognitive science, machine learning, and computer vision, Whitehill said. Mining large datasets of facial expressions, it can find patterns and sometimes even predict the way people will react to given stimuli. In addition to wide smiles and angry nostril flares, the software detects "microexpressions" like flashes of disgust or contempt…
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