Editorial for the special issue of IMAVIS on automatic face analytics for human behavior understanding

With advances in visual computing, human behavior understanding has become possible via multimodal sensors at different time-scales and at different levels of interaction and interpretation. During the last two decades, several famous companies / R&D centers have begun designing emotion-aware robots that serve people in different fields, especially in health and autism assistance, etc. Therefore, it is interesting to see what kinds of changes the currently newest techniques bring to us. This special issue aims at inspecting developments in areas where smarter robots that can sense human behavior have great potential to revolutionize the application domain. This special issue also aims to attract researchers to propose the novel way to deal with the problem of modeling human behavior. We believes face analytics over image/visual computing will be greatly in human behavior understanding.

With this Special Issue of IMAVIS dedicated to automatic face analytics, we have received six submissions and lastly accepted three papers. Here, we are pleased to present three state-of-the-art papers, from the field researchers in academia, pushing the visual computing technology forward.