Artículo
Low Energy Physical Activity Recognition System on Smartphones
Autor/es | Soria Morillo, Luis Miguel
González Abril, Luis Ortega Ramírez, Juan Antonio Álvarez de la Concepción, Miguel Ángel |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2015 |
Fecha de depósito | 2016-11-14 |
Publicado en |
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Resumen | 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 ... 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 2 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. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Junta de Andalucía |
Identificador del proyecto | info:eu-repo/grantAgreement/MINECO/TIN2013-46801-C4-1-r
TIC-8052 |
Cita | Soria Morillo, L.M., González Abril, L., Ortega Ramírez, J.A. y Álvarez de la Concepción, M.Á. (2015). Low Energy Physical Activity Recognition System on Smartphones. Sensors, 15 (3), 5163-5196. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Low energy phisical.pdf | 1.558Mb | [PDF] | Ver/ | |