Emotient™ Announces Private Beta for "Sentiment Analysis" Glassware for Google Glass™
Emotient Glassware Uses Facial Expression Recognition to Enable Google Glass Wearers to Aggregate Sentiment as a Customer Service Measure
SAN DIEGO, March 6, 2014 /PRNewswire/ -- Emotient, the leading authority in facial expression recognition, today announced the availability of its Sentiment Analysis prototype application, which is currently being released as a private beta with select partners and customers.
"Emotient's Sentiment Analysis Glassware demonstrates our goal to emotion-enable any manner of device and build the next layer of automatic sensors," said Ken Denman, CEO, Emotient. "It's a breakthrough technology that allows companies to aggregate customer sentiment by processing facial expressions anonymously. We believe there is broad applicability for this service to improve the customer experience, particularly in retail."
The Emotient software processes facial expressions and provides an aggregate emotional read-out, measuring overall sentiment (positive, negative or neutral); primary emotions (joy, surprise, sadness, fear, disgust, contempt and anger); and advanced emotions (frustration and confusion). The Emotient software detects and processes anonymous facial expressions of individuals and groups that the Glass wearer sees to determine an aggregate sentiment read-out; it does not store video or images.
Emotient foresees that its Sentiment Analysis Glassware could be used by retailers to improve the understanding of aggregate customer sentiment, which may be particularly useful in measuring store performance, and therefore managing product and advertising/promotions, as well as customer satisfaction.
About Emotient – Emotion Recognition Technology (www.emotient.com)
Emotient is the leading authority in facial expression analysis. Emotient's software translates facial expressions into actionable information, thereby enabling companies to develop emotion-aware technologies and to create new levels of customer engagement, research, and analysis. The company was founded by a team of six PhDs from the University of California, San Diego, who are the foremost experts in applying machine learning, computer vision and cognitive science to facial behavioral analysis. Our proprietary technology sets the industry standard for accuracy and real-time delivery of facial expression data and analysis. For more information on Emotient, please visit www.emotient.com.
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SOURCE Emotient
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