Applicability of multiple impulse-radar sensors for the recognition of a person’s action

Abstract

The research reported in this paper is devoted to the impulse-radar technology when applied for non-intrusive monitoring of elderly persons. Specifically, this study is focused on a novel approach to the interpretation of data acquired by means of multiple impulse-radar sensors, leading to the determination of features to be used for the recognition of a monitored person’s actions. The measurement data are first transformed into the three-dimensional coordinates of the monitored person; next, those coordinates are used as a basis for determination of features characterising the movement of that person. The results of the experimentation, based on the real-world data, show that multiple impulse-radar sensors may be successfully used for highly accurate recognition of actions such as walking, sitting, and lying down, although this accuracy is significantly affected by the quality of the three-dimensional movement trajectories which in turn is affected by the configuration of the impulse-radar sensors within the monitored area.