DocumentCode
3005817
Title
Sign language recognition using 3-D Hopfield neural network
Author
Huang, Chung-Lin ; Huang, Wen-Yi ; Lien, Cheng-Chang
Author_Institution
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume
2
fYear
1995
fDate
23-26 Oct 1995
Firstpage
611
Abstract
This paper presents a sign language recognition system which consists of three modules: model-based hand tracking, feature extraction, and gesture recognition using a 3-D Hopfield neural network. In the experiments, we illustrate that this system can recognize 15 different gestures accurately
Keywords
Hopfield neural nets; biocommunications; feature extraction; handicapped aids; image recognition; tracking; 3-D Hopfield neural network; feature extraction; gesture recognition; model-based hand tracking; sign language recognition; Degradation; Handicapped aids; Hopfield neural networks; Image converters; Image sequences; Impedance matching; Libraries; Neurons; Pattern matching; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1995. Proceedings., International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-7310-9
Type
conf
DOI
10.1109/ICIP.1995.537553
Filename
537553
Link To Document