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
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537553
