Multi-modal human state perception for pervasive computing

Pervasive/ubiquitous computing is anywhere and anytime human-centered services based on human\´s needs accordingly. Multi-modal human state perception for necessary context awareness is a key issue to build such a "human-centered" pervasive computing environment. In this paper, we design and implement a platform for human visual and physiological perception which gives human identity facial expression and physiological information directly. By integrating and modeling the face and physiological state information, we can also have some possible deep emotion information. These contexts are used for further pervasive computing applications such as healthcare