The topic of extracting the Facial Action Coding System (FACS) Action Units (AUs) [1] from images and it's translation into emotion prediction [2] is pretty well studied, but I'm not clear on how it stacks up against alternative approaches such as Convolutional Neural Networks (CNN). How much does the accuracy of AUs effect the accuracy of emotion detection?
- "Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach", Eleftheriadis S, Rudovic O, Pantic M. (2016)
- "Emotion Detection From Facial Expression And Its Use In The Evaluation Of Stress" Suvashis Das (2013)