Using Diverse ConvNets to Classify Face Action Units in Dataset on Emotions Among Mexicans (DEM)
Marco A. Moreno-Armendáriz,
Alberto Espinosa-Juarez,
Esmeralda Godinez-Montero
Abstract:To understand how Convolutional Neural Networks (ConvNets) perceive the muscular movements of the human face, known as Action Units (AUs) in this work, we introduce a new dataset named Dataset on Emotions among Mexicans (DEM), consisting of 1557 images of Mexicans labeled with twentysix AUs and seven emotions. As a benchmark, we used the comparison with DISFA+ labeled with 12 AUs. To address the task of detecting AUs in each image, six ConvNets were employed, and we evaluated their performance using the F1 Sco… Show more
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