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Sensors 2015, 15(3), 5163-5196; doi:10.3390/s150305163

Low Energy Physical Activity Recognition System on Smartphones

1
Computer Languages and Systems Department, University of Seville, 41012 Seville, Spain
2
Applied Economics I Department, University of Seville, 41018 Seville, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 17 December 2014 / Revised: 12 January 2015 / Accepted: 13 February 2015 / Published: 3 March 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1596 KB, uploaded 3 March 2015]   |  

Abstract

An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer sensors is presented. The system first performs a discretization process for each variable, which allows efficient recognition of activities performed by users using as little energy as possible. To this end, an innovative discretization and classification technique is presented based on the χ2 distribution. Furthermore, the entire recognition process is executed on the smartphone, which determines not only the activity performed, but also the frequency at which it is carried out. These techniques and the new classification system presented reduce energy consumption caused by the activity monitoring system. The energy saved increases smartphone usage time to more than 27 h without recharging while maintaining accuracy. View Full-Text
Keywords: contextual information; mobile environment; discretization method; qualitative systems; smart-energy computing contextual information; mobile environment; discretization method; qualitative systems; smart-energy computing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Morillo, L.M.S.; Gonzalez-Abril, L.; Ramirez, J.A.O.; de la Concepcion, M.A.A. Low Energy Physical Activity Recognition System on Smartphones. Sensors 2015, 15, 5163-5196.

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