Reasoning algorithm of outdoors tumble based on Ë(t) set for the elderly

Abstract

With the process of China's entering a serious aging society, it generally becomes one of the problems for people caring as elderly falls frequently. Thus, it is necessary for us find a way that the old people get help timely when it happened. On studies related to falls in outdoors currently, popular methods are on Computer Vision and Inertial Sensor. The problems of these researches are focus on the fall phenomenon of elderly mostly, lacking of deep excavation and analysis of experimental data. This paper is bringing forward Ë(() Set theory that means `Changing Set', which forms a dynamic set of the interrelated elements with FR (Frame of reference), D(t) (Experimental numerical set), T (Computing method set) and P (Results reasoning analysis set). We study the reasoning algorithmic using Ë(t) Set with normalized component data (both the angular velocity and acceleration from Inertial Sensor), to define feature points of the Ë(t) Set and determine the automatic alarm status of the fall time of the elderly.