Teaching Human Gestures to Humanoid Robots by Using Kinect Sensor

dc.contributor.authorYavsan, Emrehan
dc.contributor.authorUcar, Aysegul
dc.date.accessioned2024-02-23T14:45:03Z
dc.date.available2024-02-23T14:45:03Z
dc.date.issued2015
dc.departmentNEÜen_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this study, a novel algorithm is developed to recognize human actions and reproduce human actions on a humanoid robot. The study consists of two parts. In the first part, the real time human imitation system is realized. The three dimensional skeleton joint positions obtained from Xbox 360 Kinect. These positions are transformed to joint angles of robot arms via a transformation algorithm and these angles are transferred to NAO robot. The human upper body movements are finally successfully imitated by NAO robot in real time. In the second part, the algorithm is generated for the recognition of human actions. Extreme Learning Machines (ELMs) and the Feed Forward Neural Networks (FNNs) with back propagation algorithm are used to classify actions. According to the comparative results, ELMs produce a better recognition performance.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage1211en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage1208en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12452/17239
dc.identifier.wosWOS:000380500900282en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 23rd Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRecognition Of Human Actionsen_US
dc.subjectNao Humanoid Roboten_US
dc.subjectXbox 360 Kinecten_US
dc.titleTeaching Human Gestures to Humanoid Robots by Using Kinect Sensoren_US
dc.typeConference Objecten_US

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