Comparing Features Extraction Techniques Using J48 for Activity Recognition on Mobile Phones

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dc.contributor.author Blázquez Gil, Gonzalo
dc.contributor.author Berlanga, Antonio
dc.contributor.author Molina, José M.
dc.date.accessioned 2014-02-11T09:46:43Z
dc.date.available 2014-02-11T09:46:43Z
dc.date.issued 2012
dc.identifier.bibliographicCitation Omatu, S. et al. (eds.), 2012. Distributed Computing and Artificial Intelligence: 9th International Conference (Advances in Intelligent and Soft Computing, 151), Springer, pp. 141-150.
dc.identifier.isbn 978-3-642-28764-0 (print)
dc.identifier.isbn 978-3-642-28765-7 (online)
dc.identifier.issn 1867-5662 (print)
dc.identifier.issn 1867-5670 (online)
dc.identifier.uri http://hdl.handle.net/10016/18242
dc.description Proceedings of: 10th Conference on Practical Applications of Agents and Multi-Agent Systems, 28-30 March, 2012.Workshop on Agents and Multi-agent systems for Enterprise Integration
dc.description.abstract Nowadays, mobile phones are not only used for mere communication such as calling or sending text messages. Mobile phones are becoming the main computer device in people's lives. Besides, thanks to the embedded sensors (Accelerometer, digital compass, gyroscope, GPS,and so on) is possible to improve the user experience. Activity recognition aims to recognize actions and goals of individual from a series of observations of themselves, in this case is used an accelerometer.
dc.description.sponsorship This work was supported in part by Projects CICYT TIN2011-28620-C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/TIC-1485) and DPS2008-07029-C02-02
dc.format 9 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Advances in Intelligent and Soft Computing
dc.relation.ispartofseries 151
dc.rights © 2012 Springer-Verlag Berlin Heidelberg
dc.subject.other Mobile Device
dc.subject.other Activity Recognition
dc.subject.other Ambient Assisted Living (AAL)
dc.subject.other Features extraction
dc.subject.other J48
dc.title Comparing Features Extraction Techniques Using J48 for Activity Recognition on Mobile Phones
dc.type conferenceObject
dc.type bookPart
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-642-28765-7_18
dc.subject.eciencia Informática
dc.identifier.doi 10.1007/978-3-642-28765-7_18
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS
dc.relation.projectID Gobierno de España. TEC2011-28626-C02-02
dc.type.version acceptedVersion
dc.relation.eventdate 28-30 March, 2012
dc.relation.eventnumber 10
dc.relation.eventplace Salamanca
dc.relation.eventtitle Conference on Practical Applications of Agents and Multi-Agent Systems
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 141
dc.identifier.publicationlastpage 150
dc.identifier.publicationtitle Distributed Computing and Artificial Intelligence: 9th International Conference
dc.identifier.uxxi CC/0000017324
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