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001-es BibID:	BIBFORM073816
Első szerző:	Salánki Dániel (mechatronikai mérnök)
Cím:	Analysis of gait recognition system developed in NI LabVIEW / Salánki Dániel, Sarvajcz Kornél
Dátum:	2018
ISSN:	2261-236X
Megjegyzések:	Nowadays, the world of biometric identifiers is improving one of the most significantly in security technology. 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 can suit a function on the detected points. Moreover, the program can compare the functions of the reference curve with the functions of the actual curve and evaluate if the two gait images are the same or not. The program can save the actual gait data and reload them. The leg/foot ratio analyser program before the gait recognition is designed to improve accuracy. The research group tested the program in different ways: walking only in socks in shorts or in trousers, walking in slippers, walking in the opposite way. These facts have affected the gait recognition's accuracy, the lowest False Rejection Rate (FRR) was in the case of walking in socks in shorts.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok konferenciacikk biometric identifier gait recognition gait analysis camera comparing functions
Megjelenés:	MATEC Web of Conferences. - 184 : Paper 02012 (2018), p. [4]. -
További szerzők:	Sarvajcz Kornél (1988-) (villamosmérnök, mechatronikai mérnök)
Pályázati támogatás:	EFOP-3.6.1-16-2016-00022 EFOP
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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