Title :
Virtual Hand - Hand Gesture Recognition System
Author :
Vámossy, Zoltán ; Tóth, András ; Benedek, Balázs
Author_Institution :
Budapest Tech, Budapest
Abstract :
The goal of this project to create a hand gesture recognition application, which is useful in teaching hearing-impaired or deaf people. The hardware component of the system is a stereo camera, which made from two webcams. The hand detection based on a preprocess part, that is a HSV color conversation with an intensity based threshold filter, and a main process part, which is a thinning skeletonization algorithm. The solution of the recognition process is solved by a neural network. The input layer get vectors, that are created from the main feature points of the detected hand, and the output layer represents the parameters of a three dimensional hand model.
Keywords :
gesture recognition; handicapped aids; neural nets; virtual reality; HSV color conversation; deaf people; hand detection; hand gesture recognition system; hearing-impaired; intensity based threshold filter; neural network; thinning skeletonization algorithm; virtual hand; Cameras; Colored noise; Education; Filters; Image recognition; Informatics; Real time systems; Skin; Stereo vision; Working environment noise;
Conference_Titel :
Intelligent Systems and Informatics, 2007. SISY 2007. 5th International Symposium on
Conference_Location :
Subotica
Print_ISBN :
978-1-4244-1442-0
Electronic_ISBN :
978-1-4244-1443-7
DOI :
10.1109/SISY.2007.4342632
