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001-es BibID:	BIBFORM032872
035-os BibID:	WOS:000255232500099
Első szerző:	Oniga István László (villamosmérnök)
Cím:	Hand postures recognition system using artificial neural networksimplemented in FPGA / Stefan Oniga, Alin Tisan, Daniel Mic, Attila Buchman, Andrei Vida-Ratiu
Dátum:	2007
Megjegyzések:	Gesture recognition is a domain of grate interest of our days due to themultiple application possibilities, from the spatial or subaquaticrobots manipulation, to the sign language used for communication by thepeoples with hearing or speech disabilities. This paper shows anapplication of the artificial neural networks (ANN) implemented in fieldprogrammable gate arrays (FPGA) for the hand static gestures (postures)recognition. The adopted recognition method uses an ANN structured ontwo levels. The first level, a Feedforward ANN trained using supervisedHebbian algorithm, is used for input data preprocessing. The second one,used for data classification is a competitive ANN. Using an ANN forinput data preprocessing offers flexibility regarding the implementationof a preprocessing method This combination of two ANN leads to 100%recognition rate for the training set and two other sets of test.
Tárgyszavak:	Műszaki tudományok Villamosmérnöki tudományok konferenciacikk
Megjelenés:	30th International Spring Seminar on Electronics Technology : Emerging Technologies for Electronics Packaging : May 9-13, 2007, Cluj-Napoca, Romania : conference proceedings. - (2007), p. 507-512. -
További szerzők:	Tisan, Alin Mic, Daniel Buchman Attila (1957-) (villamosmérnök) Vida-Ratiu, Andrei
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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