Development of Gait Recognition in NI LabVIEW

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dc.contributor.authorSalánki, Dániel
dc.contributor.authorSarvajcz, Kornél
dc.date.accessioned2020-09-11T08:33:40Z
dc.date.available2020-09-11T08:33:40Z
dc.date.issued2018-04-20
dc.description.abstractNowadays, one of the most significantly improving area in security is the world of biometric identifiers. Within the biometric identifiers, the research group is working with the gait recognition speciality. The research group realized a complex gait recognition system in NI LabVIEW, that can detect more reference points simultaneously with a universal camera and is capable of suiting predetermined curves on the detected points. Moreover, the program can compare the functions suited on the reference curve and the actual curve and evaluate if the two gait images are the same or not. In the program there is a saving and a reloading function which cont ributes to the production of the reference gait image. The foot analysis program before the gait recognition is designed to improve accuracy. The self-developed gait recognition system was tested on more persons and the False Acceptance Rate (FAR) was zero.en
dc.description.abstractNowadays, one of the most significantly improving area in security is the world of biometric identifiers. Within the biometric identifiers, the research group is working with the gait recognition speciality. The research group realized a complex gait recognition system in NI LabVIEW, that can detect more reference points simultaneously with a universal camera and is capable of suiting predetermined curves on the detected points. Moreover, the program can compare the functions suited on the reference curve and the actual curve and evaluate if the two gait images are the same or not. In the program there is a saving and a reloading function which cont ributes to the production of the reference gait image. The foot analysis program before the gait recognition is designed to improve accuracy. The self-developed gait recognition system was tested on more persons and the False Acceptance Rate (FAR) was zero.hu
dc.formatapplication/pdf
dc.identifier.citationRecent Innovations in Mechatronics, Vol. 5 No. 1 (2018) , 1-3.
dc.identifier.doihttps://doi.org/10.17667/riim.2018.1/3
dc.identifier.eissn2064-9622
dc.identifier.issue1
dc.identifier.jtitleRecent Innovations in Mechatronics
dc.identifier.urihttps://hdl.handle.net/2437/295736en
dc.identifier.volume5
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/rIim/article/view/3827
dc.rights.accessOpen Access
dc.rights.ownerSalánki Dániel, Kornél Sarvajcz
dc.subjectbiometricen
dc.subjectgaiten
dc.subjectrecognitionen
dc.subjectcameraen
dc.subjectanalysisen
dc.subjectbiometrichu
dc.subjectgaithu
dc.subjectrecognitionhu
dc.subjectcamerahu
dc.subjectanalysishu
dc.titleDevelopment of Gait Recognition in NI LabVIEWen
dc.typefolyóiratcikkhu
dc.typearticleen
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Recent Innovations in Mechatronics (DE-journals)