Reading Faces for Emotion Recognition through Deep Learning

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 with a high level of accuracy, speed and customization. The second half of this session will reveal 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.

Powered by Khore by Showthemes