Estimating and reshaping human intention via human robot interaction

dc.contributor.authorDurdu, Akif
dc.contributor.authorErkmen, Ismet
dc.contributor.authorErkmen, Aydan Muserref
dc.date.accessioned2020-03-26T19:24:02Z
dc.date.available2020-03-26T19:24:02Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractHuman robot 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.doi10.3906/elk-1306-85en_US
dc.identifier.endpage104en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage88en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1306-85
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33560
dc.identifier.volume24en_US
dc.identifier.wosWOS:000368559000025en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectHuman robot interactionen_US
dc.subjectintention estimationen_US
dc.subjectintention reshapingen_US
dc.subjecthidden Markov modelsen_US
dc.titleEstimating and reshaping human intention via human robot interactionen_US
dc.typeArticleen_US

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