基于概率软逻辑的多层次识别和推理

With the global aging population increasing, the daily behavior regulation and care of the old people have become a challenging social problem. In order to deal with the growing demand of society, this paper proposes a method that is driven by data and knowledge, and uses PSL (probabilistic soft logic) and multi-level analysis for modeling the old people's daily activities to solve the problem of nursing activity recognition. Experiments show that the method has higher accuracy than HMM in the event identification and abnormal activity detection, and has faster response speed than the non-hierarchical recognition method.