Activity Recognition System Using Non-intrusive Devices through a Complementary Technique Based on Discrete Methods

Abstract

This paper aims to develop a cheap, comfortable and, spe cially, efficient system which controls the physical activity carried out by the user. For this purpose an extended approach to physical activ ity recognition is presented, based on the use of discrete variables which employ data from accelerometer sensors. To this end, an innovative se lection, discretization and classification technique to make the recog nition process in an efficient way and at low energy cost, is presented in this work based on Ameva discretization. Entire process is executed on the smartphone and on a wireless health monitoring system is used when the smartphone is not used taking into account the system energy consumption