Low Energy Physical Activity Recognition System on Smartphones
| Autor: | Miguel Ángel Álvarez de la Concepción, Luis Gonzalez-Abril, Juan Antonio Ortega Ramírez, Luis Miguel Soria Morillo |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla. Departamento de Economía Aplicada I, Ministerio de Economía y Competitividad (MINECO). España, Junta de Andalucía |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Discretization Real-time computing Physical activity Smart-energy computing Motor Activity Accelerometer lcsh:Chemical technology Biochemistry Article Analytical Chemistry Mobile environment Contextual information Recognition system Humans lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Monitoring Physiologic contextual information business.industry Process (computing) Energy consumption discretization method smart-energy computing Discretization method Atomic and Molecular Physics and Optics qualitative systems Variable (computer science) mobile environment Qualitative systems business Energy (signal processing) Cell Phone |
| Zdroj: | Sensors Volume 15 Issue 3 Pages 5163-5196 idUS. Depósito de Investigación de la Universidad de Sevilla instname Sensors, Vol 15, Iss 3, Pp 5163-5196 (2015) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s150305163 |
| Popis: | 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. Ministerio de Economía y Competitividad TIN2013-46801-C4-1-r Junta de Andalucía TIC-8052 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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