Emotient Gains Exclusive Rights to New, Expansive Patent Issued for Automated Facial Action Coding System

Emotient Gains Exclusive Rights to New, Expansive Patent Issued for Automated Facial Action Coding System

SAN DIEGO, Sept. 3, 2014 /PRNewswire/ Emotient, the leading provider of facial expression measurement data and analysis, today announced exclusive rights to a newly issued patent (US 8,798,374 B2) entitled, "Automated Facial Action Coding System." This expansive patent protects Emotient's core technology, from face detection to measurement of primary emotions, to detection of facial muscle movements.

"We believe the automated facial action coding patent is very expansive and protects much of our core system," said Ken Denman, President and CEO, Emotient. "We remain committed to growing our intellectual property portfolio. Over the last 18 months, we have filed 16 patent applications to protect additional aspects of our core technology, as well as innovative vertical applications for the retail, health-care, education, and entertainment industries."

The automated facial action coding patent inventors include Emotient Co-Founders Dr. Marian Bartlett, Dr. Gwen Littlefort, Dr. Javier Movellan, Dr. Ian Fasel and their colleague Mark Frank from University of New York. The patent was issued to the Regents of the University of California and The Research Foundation of State University of New York on August 5, 2014. Emotient holds exclusive rights to this and other work that the team developed while at UC San Diego, prior to leaving and co-founding Emotient in 2012. The patent covers the system and method to detect faces and facial features, machine learning techniques for feature selection that are trained on spontaneous expressions; deep neural network applications to machine learning-based classifiers trained on spontaneous expressions and determination of the presence of one or more elementary facial muscle movements or Action Units (AUs).