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Wednesday, June 28 • 11:00am - 11:50am
ET2: Deep Learning Based Vision AI for Emotion Recognition from Facial Micro-Expressions

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This session will reveal a novel use of Convolutional Neural Networks (CNNs) as a Deep Learning architecture towards the creation of a facial expression recognition vocabulary. Understand how this new approach allows the vision AI algorithm to accurately read micro-expressions in real-time, and generate a wealth of invaluable behavioral data that is easy to digest and parse into other processes or applications. Discover a number of current industry verticals that are benefiting today from integrating emotion recognition technology into their commercial applications to amplify context awareness; and subsequently, enhance users experiences through a better Ambient Intelligence.


Speakers
avatar for Modar Alaoui

Modar Alaoui

Founder and CEO, Eyeris
Modar is a tech entrepreneur and expert in Artificially Intelligent vision technologies, Deep Learning and Ambient Intelligence. He is currently founder and CEO at Eyeris, the worldwide leading Deep Learning-based emotion recognition software. The company's flagship product EmoVu... Read More →


Wednesday June 28, 2017 11:00am - 11:50am
Meeting Room 212AB

Attendees (17)