Ponencia
Activity Recognition System Using Non-intrusive Devices through a Complementary Technique Based on Discrete Methods
Autor/es | Álvarez de la Concepción, Miguel Ángel
Soria Morillo, Luis Miguel González Abril, Luis Ortega Ramírez, Juan Antonio |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2013 |
Fecha de depósito | 2022-07-19 |
Publicado en |
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ISBN/ISSN | 978-3-642-41042-0 1865-0929 |
Resumen | 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 ... 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 |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Junta de Andalucía |
Identificador del proyecto | TIN2009-14378-C02-01(ARTEMISA)
TIC-8052 (Simon) |
Cita | Álvarez de la Concepción, M.Á., Soria Morillo, L.M., González Abril, L. y Ortega Ramírez, J.A. (2013). Activity Recognition System Using Non-intrusive Devices through a Complementary Technique Based on Discrete Methods. En EvAAL 2013: International Competition on Evaluating AAL Systems through Competitive Benchmarking (36-47), Madrid, España: Springer. |
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