A hand gesture recognition technique for human-computer interaction

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buir.contributor.authorGüdükbay, Uğur
dc.citation.epage104en_US
dc.citation.spage97en_US
dc.citation.volumeNumber28en_US
dc.contributor.authorKılıboz, N. Ç.en_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.date.accessioned2016-02-08T10:25:08Z
dc.date.available2016-02-08T10:25:08Z
dc.date.issued2015en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe propose an approach to recognize trajectory-based dynamic hand gestures in real time for human-computer interaction (HCI). We also introduce a fast learning mechanism that does not require extensive training data to teach gestures to the system. We use a six-degrees-of-freedom position tracker to collect trajectory data and represent gestures as an ordered sequence of directional movements in 2D. In the learning phase, sample gesture data is filtered and processed to create gesture recognizers, which are basically finite-state machine sequence recognizers. We achieve online gesture recognition by these recognizers without needing to specify gesture start and end positions. The results of the conducted user study show that the proposed method is very promising in terms of gesture detection and recognition performance (73% accuracy) in a stream of motion. Additionally, the assessment of the user attitude survey denotes that the gestural interface is very useful and satisfactory. One of the novel parts of the proposed approach is that it gives users the freedom to create gesture commands according to their preferences for selected tasks. Thus, the presented gesture recognition approach makes the HCI process more intuitive and user specific.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:25:08Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2015en
dc.identifier.doi10.1016/j.jvcir.2015.01.015en_US
dc.identifier.issn1047-3203
dc.identifier.urihttp://hdl.handle.net/11693/24170
dc.language.isoEnglishen_US
dc.publisherAcademic Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.jvcir.2015.01.015en_US
dc.source.titleJournal of Visual Communication and Image Representationen_US
dc.subjectAdaptive gesturesen_US
dc.subjectDynamic gesture recognitionen_US
dc.subjectFinite state machine-based recognitionen_US
dc.subjectHand trajectory recognitionen_US
dc.subjectHuman-computer interactionen_US
dc.subjectDegrees of freedom (mechanics)en_US
dc.subjectLogic circuitsen_US
dc.subjectSignal encodingen_US
dc.subjectTrajectoriesen_US
dc.subjectAdaptive gesturesen_US
dc.subjectGestural interfacesen_US
dc.subjectGesture-based interactionen_US
dc.subjectHand gestureen_US
dc.subjectIntuitive interfacesen_US
dc.subjectGesture recognitionen_US
dc.titleA hand gesture recognition technique for human-computer interactionen_US
dc.typeArticleen_US

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