Multi-Modal Fusion Enhanced Model For Driver’s Facial Expression Recognition

Facial expression recognition (FER) for monitoring a driver’s emotional state has become an increasing need for advanced driver assistant systems (ADAS). Though state-of-art results of recognition accuracy have been achieved in FER with the development of deep neural networks (DNNs) in recent years, FER in real-world is still challenging due to illumination and head pose variation. In this work, w...