Intention Recognition Using Leap Motion Controller and Artificial Neural Networks

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dc.contributor.authorErdogan, Kemal
dc.contributor.authorDurdu, Akif
dc.contributor.authorYilmaz, Nihat
dc.date.accessioned2020-03-26T19:24:44Z
dc.date.available2020-03-26T19:24:44Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description3rd International Conference on Control, Decision and Information Technologies (CoDIT) -- APR 06-08, 2016 -- St Pauls Bay, MALTAen_US
dc.description.abstractIntention recognition is an important topic in the field of Human Robot Interaction. If the robot is wanted to make counter movements just in time according to human's actions, a robotic system must recognize the intention of the human necessarily. In this paper, a method for a robotics system to estimate the human's intention is presented. In our method, the information is provided from the sensor called as leap motion controller device. The decision about the tendency of human intention is made by Artificial Neural Network. A scenario has been designed that a human subject tries to pile the boxes on each other. The main point for this robotic system and the scenario is to recognize the intention as which box would be held by the subject.en_US
dc.description.sponsorshipIEEE, Univ Malta, IEEE Syst Man & Cybernet Soc, IEEE Malta Sect, IEEE Robot & Automat Soc, Tunisia Chapter, Int Inst Innovat Ind Engn & Entrepreneurship, GDR RO, GDR MACSen_US
dc.identifier.endpage693en_US
dc.identifier.isbn978-1-5090-2188-8
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage689en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33716
dc.identifier.wosWOS:000386533900122en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectartificial neural network (ANN)en_US
dc.subjecthuman robot interaction (HRI)en_US
dc.subjectintention estimationen_US
dc.subjectintention recognitionen_US
dc.subjectleap motionen_US
dc.titleIntention Recognition Using Leap Motion Controller and Artificial Neural Networksen_US
dc.typeConference Objecten_US

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