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dc.contributor.authorManzi, Alessandro
dc.contributor.authorFiorini, Laura
dc.contributor.authorLimosani, Raffaele
dc.contributor.authorDario, Paolo
dc.contributor.authorCavallo, Filippo
dc.date.accessioned2020-06-02T12:33:08Z
dc.date.available2020-06-02T12:33:08Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20803
dc.language.isoenen
dc.subjectactivity recognitionen
dc.subjectassisted livingen
dc.subjectmachine learningen
dc.subjectdepth cameraen
dc.subject.ddc304en
dc.titleTwo-person activity recognition using skeleton dataen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenHuman activity recognition is an important and active field of research having a wide range of applications in numerous fields including ambient-assisted living (AL). Although most of the researches are focused on the single user, the ability to recognise two-person interactions is perhaps more important for its social implications. This study presents a two-person activity recognition system that uses skeleton data extracted from a depth camera. The human actions are encoded using a set of a few basic postures obtained with an unsupervised clustering approach. Multiclass support vector machines are used to build models on the training set, whereas the X-means algorithm is employed to dynamically find the optimal number of clusters for each sample during the classification phase. The system is evaluated on the Institute of Systems and Robotics (ISR) - University of Lincoln (UoL) and Stony Brook University (SBU) datasets, reaching overall accuracies of 0.87 and 0.88, respectively. Although the results show that the performances of the system are comparable with the state of the art, recognition improvements are obtained with the activities related to health-care environments, showing promise for applications in the AL realm.en
dc.relation.isversionofjnlnameIET Computer Vision
dc.relation.isversionofjnlvol12en
dc.relation.isversionofjnlissue1en
dc.relation.isversionofjnldate2018
dc.relation.isversionofjnlpages27-35en
dc.relation.isversionofdoi10.1049/iet-cvi.2017.0118en
dc.relation.isversionofjnlpublisherIEEE Xploreen
dc.subject.ddclabelFacteurs d'influence sur les comportements sociauxen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidateouien
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
hal.person.labIds504313
hal.person.labIds504313
hal.person.labIds504313
hal.person.labIds504313
hal.person.labIds504313
hal.faultCode{"meta":{"domain":{"isEmpty":"Cette valeur est obligatoire et ne peut \u00eatre vide"}}}


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