Association for Computing Machinery
In the past collecting data to train facial expression and affect recognition systems has been time consuming and often led to results that do not include spontaneous expressions. The authors present the first crowdsourced data collection of dynamic, natural and spontaneous facial responses as viewers watch media online. This system allowed a massive corpus of 3,268 videos to be collected in under two months. They characterize the data in terms of viewer demographics, position, scale, pose and movement of the viewer within the frame and illumination of the facial region.