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dc.contributor.authorAnguita, Davide
dc.contributor.authorGhio, Alessandro
dc.contributor.authorOneto, Luca
dc.contributor.authorParra Perez, Xavier
dc.contributor.authorReyes Ortiz, Jorge Luis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2013-12-03T12:13:39Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationAnguita, D. [et al.]. A public domain dataset for human activity recognition using smartphones. A: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. "Proceedings of the 21th International European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning". Bruges: 2013, p. 437-442.
dc.identifier.isbn978-2-87419-081-0
dc.identifier.urihttp://hdl.handle.net/2117/20897
dc.description.abstractHuman-centered computing is an emerging research field that aims to understand human behavior and integrate users and their social context with computer systems. One of the most recent, challenging and appealing applications in this framework consists in sensing human body motion using smartphones to gather context information about people actions. In this context, we describe in this work an Activity Recognition database, built from the recordings of 30 subjects doing Activities of Daily Living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors, which is released to public domain on a well-known on-line repository. Results, obtained on the dataset by exploiting a multiclass Support Vector Machine (SVM), are also acknowledged.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshSmartphones -- Social aspects
dc.subject.lcshHuman-centered computing
dc.titleA public domain dataset for human activity recognition using smartphones
dc.typeConference report
dc.subject.lemacTelèfons intel·ligents -- Aplicacions
dc.subject.lemacComputació centrada en humans
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.i6doc.com/en/livre/?GCOI=28001100131010
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12908114
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorAnguita, D.; Ghio, A.; Oneto, L.; Parra, X.; Reyes, J.
local.citation.contributorEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
local.citation.pubplaceBruges
local.citation.publicationNameProceedings of the 21th International European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
local.citation.startingPage437
local.citation.endingPage442


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