dc.creator | Soria Morillo, Luis Miguel | es |
dc.creator | González Abril, Luis | es |
dc.creator | Ortega Ramírez, Juan Antonio | es |
dc.creator | Álvarez de la Concepción, Miguel Ángel | es |
dc.date.accessioned | 2016-11-14T10:52:14Z | |
dc.date.available | 2016-11-14T10:52:14Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | 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. | |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | http://hdl.handle.net/11441/48525 | |
dc.description.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 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. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2013-46801-C4-1-r | es |
dc.description.sponsorship | Junta de Andalucía TIC-8052 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 15 (3), 5163-5196. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Contextual information | es |
dc.subject | Mobile environment | es |
dc.subject | Discretization method | es |
dc.subject | Qualitative systems | es |
dc.subject | Smart-energy computing | es |
dc.title | Low Energy Physical Activity Recognition System on Smartphones | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Economía Aplicada I | es |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/TIN2013-46801-C4-1-r | es |
dc.relation.projectID | TIC-8052 | es |
dc.relation.publisherversion | http://www.mdpi.com/1424-8220/15/3/5163 | es |
dc.identifier.doi | 10.3390/s150305163 | es |
idus.format.extent | 34 p. | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 15 | es |
dc.publication.issue | 3 | es |
dc.publication.initialPage | 5163 | es |
dc.publication.endPage | 5196 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/48525 | |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | |
dc.contributor.funder | Junta de Andalucía | |