A fuzzy rule-based approach to recognizing 3-D arm movements.
One particular application of gesture-based systems is to implement a speaking aid for the deaf. For this to happen, it requires a module that can recognize three-dimensional (3-D) arm movements since arm movement is one of the four main attributes characterizing a sign word. In this paper we propose a fuzzy rule-based recognition method. The effectiveness of this system is evaluated by recognizing 3-D arm movements involved in Taiwanese Sign Language (TSL).
Su
M C
MC
Department of Computer Science and Information Engineering, National Central University, Taiwan, ROC.
Zhao
Y X
YX
Huang
H
H
Chen
H F
HF
D001132:Arm; D001185:Artificial Intelligence; D003638:Deafness / Q000534:rehabilitation*; D017143:Fuzzy Logic; D005868:Gestures; D006801:Humans; D008962:Models, Theoretical; D009068:Movement; D021641:Recognition, Psychology; D012813:Sign Language; D014584:User-Computer Interface