Recognizing human activities from sensors using hidden Markov models constructed by feature selection techniques

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dc.contributor.author Cilla, Rodrigo
dc.contributor.author Patricio Guisado, Miguel Ángel
dc.contributor.author García, Jesús
dc.contributor.author Berlanga, Antonio
dc.contributor.author Molina, José M.
dc.date.accessioned 2010-09-28T11:08:16Z
dc.date.available 2010-09-28T11:08:16Z
dc.date.issued 2009-02
dc.identifier.bibliographicCitation Algorithms 2009, 2(1), p. 282-300
dc.identifier.issn 1999-4893
dc.identifier.uri http://hdl.handle.net/10016/9315
dc.description 19 pages, 8 figures.-- This article belongs to the Special Issue "Sensor Algorithms".
dc.description.abstract In this paper a method for selecting features for Human Activity Recognition from sensors is presented. Using a large feature set that contains features that may describe the activities to recognize, Best First Search and Genetic Algorithms are employed to select the feature subset that maximizes the accuracy of a Hidden Markov Model generated from the subset. A comparative of the proposed techniques is presented to demonstrate their performance building Hidden Markov Models to classify different human activities using video sensors.
dc.description.sponsorship This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, SINPROB and CAM MADRINET S-0505/TIC/0255.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher MDPI Publishing
dc.subject.other Computer Vision
dc.subject.other Human Action Recognition
dc.subject.other Feature Selection
dc.subject.other Hidden Markov Models
dc.title Recognizing human activities from sensors using hidden Markov models constructed by feature selection techniques
dc.type article
dc.type.review PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.3390/a2010282
dc.subject.eciencia Informática
dc.identifier.doi 10.3390/a2010282
dc.rights.accessRights openAccess
dc.identifier.publicationfirstpage 282
dc.identifier.publicationissue 1
dc.identifier.publicationlastpage 300
dc.identifier.publicationtitle Algorithms
dc.identifier.publicationvolume 2
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