Distinguishing living and non living subjects in a scene based on vital parameter estimation

In this paper, we propose an algorithm to extract vital signals of multiple non stationary human subjects and is further extended to distinguish stationary and non stationary living and non living things in an extreme clutter and multipath environment. The detected vital parameters were compared against Pulse oximeter(PULOX PO-300) and Fitbit wrist band and average error of heart beat was found to be less than 1 %.