Media and Advertising
HOW IT WORKS
Automotive AI for Driver Monitoring
294 Washington Street
Boston, MA 02108
In Downtown Crossing
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Gated Deep Recurrent Nonnegative Matrix Factorization for Anger Detection in Speech
Recurrent neural networks (RNNs) have been shown to be effective for a...
Fully Convolutional Neural Networks for Anger Detection in Spontaneous Speech
Convolutional Neural Networks (CNNs) have been shown to be effective i...
Predicting Ad Liking and Purchase Intent: Large-scale Analysis of Facial Responses to Ads
Can we predict the impact of a piece of advertising on the viewer̵...
Using Affect Within A Gaming Context – Patent US 9,247,903 B2
Overview People love to play all kinds of games. As a result, computer...
Supervised Learning Approach to Remote Heart Rate Estimation from Facial Videos
Following the success of researchers at the MIT Media Lab estimating t...
Predicting Online Media Effectiveness Based on Smile Responses Gathered Over the Internet
To determine whether a viewer liked a piece of media and would like t...
Measuring Voter’s Candidate Preference Based on Affective Responses to Election Debates
Political debates cover emotive issues that impact people’s lives. T...
Video Recommendation Based On Affect – Patent US 9,106,958 B2
Overview Video content is available everywhere for viewing on televisi...
Affectiva SDK: A Cross-Platform RealTime Multi-Face Expression Recognition Toolkit
Abstract We present a real-time facial expression recognition toolkit ...
Automatic Measurement Of Ad Preferences From Facial Responses Gathered Over The Internet
Published in Image and Vision Computing in 2014, this paper outlines...