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A public domain dataset for human activity recognition using smartphones
dc.contributor.author | Anguita, Davide |
dc.contributor.author | Ghio, Alessandro |
dc.contributor.author | Oneto, Luca |
dc.contributor.author | Parra Perez, Xavier |
dc.contributor.author | Reyes Ortiz, Jorge Luis |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2013-12-03T12:13:39Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Anguita, 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.isbn | 978-2-87419-081-0 |
dc.identifier.uri | http://hdl.handle.net/2117/20897 |
dc.description.abstract | Human-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.extent | 6 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Smartphones -- Social aspects |
dc.subject.lcsh | Human-centered computing |
dc.title | A public domain dataset for human activity recognition using smartphones |
dc.type | Conference report |
dc.subject.lemac | Telèfons intel·ligents -- Aplicacions |
dc.subject.lemac | Computació centrada en humans |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.i6doc.com/en/livre/?GCOI=28001100131010 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 12908114 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Anguita, D.; Ghio, A.; Oneto, L.; Parra, X.; Reyes, J. |
local.citation.contributor | European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
local.citation.pubplace | Bruges |
local.citation.publicationName | Proceedings of the 21th International European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
local.citation.startingPage | 437 |
local.citation.endingPage | 442 |