Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer

Abstract

The current generation of portable mobile devices incorporates various types of sensors that open up new areas for the analysis of human behavior. In this paper, we propose a method for human physical activity recognition using time series, collected from a single tri-axial accelerometer of a smartphone. Primarily, the method solves a problem of online time… (More)
DOI: 10.1007/s11042-015-2643-0

Topics

9 Figures and Tables

Slides referencing similar topics