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dc.contributor.authorVales Alonso, Javier 
dc.contributor.authorLópez Matencio Pérez, Pablo Antonio 
dc.contributor.authorGonzález Castaño, Francisco Javier 
dc.contributor.authorNavarro Hellín, Honorio 
dc.contributor.authorBaños Guirao, Pedro José 
dc.contributor.authorPérez Martínez, Francisco Javier 
dc.contributor.authorMartínez Álvarez, Rafael Pedro 
dc.contributor.authorGonzález Jiménez, Daniel 
dc.contributor.authorGil Castiñeira, Felipe 
dc.contributor.authorDuro Fernández, Richard 
dc.date.accessioned2011-02-21T12:37:52Z
dc.date.available2011-02-21T12:37:52Z
dc.date.issued2010-03-22
dc.identifier.citationVALES ALONSO, Javier, LÓPEZ MATENCIO, Pablo, GONZÁLEZ CASTAÑO. Francisco, NAVARRO HELLÍN, Honorio, BAÑOS GUIRAO, Pedro J., PÉREZ MARTÍNEZ, Francisco J., MARTÍNEZ ÁLVAREZ, Rafael, P., GONZÁLEZ JIMÉNEZ, Daniel, GIL CASTIÑEIRA, Daniel, DURO FERNÁNDEZ, Richard. Ambient intelligence systems for personalized sport training. Sensors, 10: 2359-2385, Marzo 2010. ISSN 1424-8220eng
dc.identifier.issn1424-8220
dc.description.abstractSeveral research programs are tackling the use of Wireless Sensor Networks (WSN) at specific fields, such as e-Health, e-Inclusion or e-Sport. This is the case of the project “Ambient Intelligence Systems Support for Athletes with Specific Profiles”, which intends to assist athletes in their training. In this paper, the main developments and outcomes from this project are described. The architecture of the system comprises a WSN deployed in the training area which provides communication with athletes’ mobile equipments, performs location tasks, and harvests environmental data (wind speed, temperature, etc.). Athletes are equipped with a monitoring unit which obtains data from their training (pulse, speed, etc.). Besides, a decision engine combines these real-time data together with static information about the training field, and from the athlete, to direct athletes’ training to fulfill some specific goal. A prototype is presented in this work for a cross country running scenario, where the objective is to maintain the heart rate (HR) of the runner in a target range. For each track, the environmental conditions (temperature of the next track), the current athlete condition (HR), and the intrinsic difficulty of the track (slopes) influence the performance of the athlete. The decision engine, implemented by means of (m; s)-splines interpolation, estimates the future HR and selects the best track in each fork of the circuit. This method achieves a success ratio in the order of 80%. Indeed, results demonstrate that if environmental information is not take into account to derive training orders, the success ratio is reduced notably.eng
dc.description.sponsorshipThis work has been supported by grants DEP2006-56158-C03-01/02/03, TEC2007-67966 -01/02/TCM CON-PARTE-1/2 (Ministerio de Educacion y Ciencia, Spain), TSI-020301-2008-16 ELISA and TSI-020301-2008-2 PIRAmIDE (Ministerio de Industria, Turismo y Comercio, Spain), and it has been also developed within the framework of “Programa de Ayudas a Grupos de Excelencia de la Region de Murcia”, funded by Fundacion Seneca, Agencia de Ciencia y Tecnologia de la Region de Murcia (Plan Regional de Ciencia y Tecnologia 2007/2010).eng
dc.formatapplication/pdf
dc.language.isoengeng
dc.publisherMDPI AGeng
dc.rightsOpen Accesseng
dc.titleAmbient intelligence systems for personalized sport trainingeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.subject.otherIngeniería Telemáticaeng
dc.subjectInteligencia ambientaleng
dc.subjectServicios contextualeseng
dc.subjectRed de sensor inalámbricoeng
dc.subjectEntrenamiento deportivoeng
dc.subjectAprendizaje automáticoeng
dc.subjectAmbient intelligence (AmI)eng
dc.subjectContextual serviceseng
dc.subjectWireless sensor networkeng
dc.subjectSport trainingeng
dc.subjectMachine learningeng
dc.identifier.urihttp://hdl.handle.net/10317/1631
dc.peerreviewsieng
dc.contributor.investgroupGrupo Ingeniería Telemática (GIT)eng
dc.identifier.doi10.3390/s100302359
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesseng
dc.type.versioninfo:eu-repo/semantics/publishedVersioneng


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