
Speaker "JR Alaoui" Details Back

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Name
JR Alaoui
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Company
Eyeris
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Designation
CEO
Topic
Adaptive interfaces for Ambient Intelligence (AmI) powered by big data from facial emotion recognition.
Abstract
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. The first half of this session will cover how this new approach allows vision software algorithms to read micro-expressions in real-time an generate a wealth of facial big data analytics with a high level of accuracy, speed and customization. The second half of this session will reveal the state of current industry verticals, namely embedded systems and video analytics, that benefit today from integrating emotion recognition technology into their commercial applications to amplify Human Computer Interaction and context awareness, to subsequently enhance users experiences through better Ambient Intelligence. This session will include a highly rated live demo on stage!