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Online motion recognition using an accelerometer in a mobile device
dc.contributor.author | Fuentes, Daniel |
dc.contributor.author | González Abril, Luis |
dc.contributor.author | Angulo Bahón, Cecilio |
dc.contributor.author | Ortega Ramírez, Juan Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2011-09-26T10:03:26Z |
dc.date.available | 2011-09-26T10:03:26Z |
dc.date.issued | 2012 |
dc.identifier.citation | Fuentes, D. [et al.]. Online motion recognition using an accelerometer in a mobile device. "Expert systems with applications", 2012, vol. 39, núm. 3, p. 2461-2465. |
dc.identifier.issn | 0957-4174 |
dc.identifier.uri | http://hdl.handle.net/2117/13325 |
dc.description.abstract | This paper introduces a new method to implement a motion recognition process using a mobile phone fitted with an accelerometer. The data collected from the accelerometer are interpreted by means of a statistical study and machine learning algorithms in order to obtain a classification function. Then, that function is implemented in a mobile phone and online experiments are carried out. Experimental results show that this approach can be used to effectively recognize different human activities with a high-level accuracy. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes |
dc.subject.lcsh | Support vector machines |
dc.subject.lcsh | Supervised learning (Machine learning) |
dc.subject.lcsh | Learning classifier systems |
dc.title | Online motion recognition using an accelerometer in a mobile device |
dc.type | Article |
dc.subject.lemac | Reconeixement de formes (Informàtica) |
dc.subject.lemac | Acceleròmetres |
dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.identifier.doi | 10.1016/j.eswa.2011.08.098 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0957417411012292#FCANote |
dc.rights.access | Open Access |
local.identifier.drac | 5965033 |
dc.description.version | Preprint |
local.citation.publicationName | Expert systems with applications |
local.citation.volume | 39 |
local.citation.number | 3 |
local.citation.startingPage | 2461 |
local.citation.endingPage | 2465 |
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