Gesture imitation and recognition using Kinect sensor and extreme learning machines

Basit Öğe Kaydı
dc.contributor.authorYavsan, Emrehan
dc.contributor.authorUcar, Aysegul
dc.date.accessioned2024-02-23T14:13:10Z
dc.date.available2024-02-23T14:13:10Z
dc.date.issued2016
dc.departmentNEÜen_US
dc.description.abstractThis study presents a framework that recognizes and imitates human upper-body motions in real time. The framework consists of two parts. In the first part, a transformation algorithm is applied to 3D human motion data captured by a Kinect. The data are then converted into the robot's joint angles by the algorithm. The human upper-body motions are successfully imitated by the NAO humanoid robot in real time. In the second part, the human action recognition algorithm is implemented for upper-body gestures. A human action dataset is also created for the upper-body movements. Each action is performed 10 times by twenty-four users. The collected joint angles are divided into six action classes. Extreme Learning Machines (ELMs) are used to classify the human actions. Additionally, the Feed-Forward Neural Networks (FNNs) and K-Nearest Neighbor (K-NN) classifiers are used for comparison. According to the comparative results, ELMs produce a good human action recognition performance. (C) 2016 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipFirat University Scientific Research Projects Foundation [MF.12.33]en_US
dc.description.sponsorshipThis paper was supported by the Firat University Scientific Research Projects Foundation (no. MF.12.33).en_US
dc.identifier.doi10.1016/j.measurement.2016.09.026
dc.identifier.endpage861en_US
dc.identifier.issn0263-2241
dc.identifier.issn1873-412X
dc.identifier.scopus2-s2.0-84988699181en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage852en_US
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2016.09.026
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12334
dc.identifier.volume94en_US
dc.identifier.wosWOS:000390512100092en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofMeasurementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHuman Action Recognitionen_US
dc.subjectNao Humanoid Roboten_US
dc.subjectXbox 360 Kinecten_US
dc.subjectExtreme Learning Machinesen_US
dc.titleGesture imitation and recognition using Kinect sensor and extreme learning machinesen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu