People naturally understand emotions, thus permitting a machine to do the
same could open new paths for human-computer interaction. Facial expressions
can be very useful for emotion recognition techniques, as these are the biggest
transmitters of non-verbal cues capable of being correlated with emotions.
Several techniques are based on Convolutional Neural Networks (CNNs) to extract
information in a machine learning process. However, simple CNNs are not always
sufficient to locate points of interest on the face that can be correlated with
emotions. In this work, we intend to expand the capacity of emotion recognition
techniques by proposing the usage of Facial Action Units (AUs) recognition
techniques to recognize emotions. This recognition will be based on the Facial
Action Coding System (FACS) and computed by a machine learning system. In
particular, our method expands over EmotiRAM, an approach for multi-cue emotion
recognition, in which we improve over their facial encoding module.

我们提出了一种使用面部动作单元（AUs）识别技术来识别情绪的方法，该识别方法基于面部动作编码系统（FACS）并通过机器学习系统计算，以扩展情绪识别技术的能力。