Estimating and reshaping human intention via humanrobot interaction

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dc.contributor.authorDurdu, Akif
dc.contributor.authorErkmen, İsmet
dc.contributor.authorErkmen, Aydan Müşerref
dc.date.accessioned2020-03-26T19:22:51Z
dc.date.available2020-03-26T19:22:51Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractHumanrobot interaction (HRI) is studied in two important research areas, intention estimation and intention reshaping. Although there are many studies in the literature that define human intention, new research examines the reshaping of human intentions by using robots in HRI. In this paper, 2 different robot movements are tested in a real environment in order to reshape current human intention. The hidden Markov model (HMM) is used to estimate human intention in our intelligent robotic system. The algorithmic design of the system comprises 2 parts: the first part tracks the moving objects in the environment, and the second part estimates human intention and reshapes the estimated current human intention by using intelligent robots. In the first part, a feature vector consisting of the headings of the human posture and the locations of the humans and robots is created by using video processing techniques. The second part is related to estimating the current intention of a human participant via HMM models and to reshaping the current intention into another intention. The system is tested in a real experimental environment including humans and robots, and the results in the recorded videos are given at the end of the paper.en_US
dc.identifier.endpage104en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issue1en_US
dc.identifier.startpage88en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TWpRME5EZ3dNQT09
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33126
dc.identifier.volume24en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMühendisliken_US
dc.subjectElektrik ve Elektroniken_US
dc.titleEstimating and reshaping human intention via humanrobot interactionen_US
dc.typeArticleen_US

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