DocumentCode :
1805133
Title :
Recognition of 3D arm movements using neural networks
Author :
Su, Mu-Chun ; Huang, Hai ; Zhao, Yu-Xiang ; Chen, Hsuen-Fan ; Chen, Yi-Yuan
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Tamsui, Taiwan
Volume :
6
fYear :
1999
fDate :
36342
Firstpage :
4259
Abstract :
There are many different approaches to recognition of spatio-temporal patterns. Each has its own merits and disadvantages. In this paper we present a neural-network-based approach to spatio-temporal pattern recognition. The effectiveness of this method is evaluated by recognizing 3D arm movements involved in Taiwanese sign language
Keywords :
handicapped aids; motion estimation; neural nets; pattern matching; ultrasonic applications; 3D arm movement recognition; Taiwanese sign language; neural-network; pattern matching; spatiotemporal pattern recognition; ultrasonic tracking; Application software; Computer languages; Dynamic programming; Fingers; Handicapped aids; Hidden Markov models; Mice; Neural networks; Pattern recognition; Recurrent neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-5529-6
Type :
conf
DOI :
10.1109/IJCNN.1999.830850
Filename :
830850
Link To Document :
بازگشت