Title :
A fuzzy rule-based approach to recognizing 3-D arm movements
Author :
Mu-Chun Su ; Yu-Xiang Zhao ; Hsuan-Fan Chen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-Li, Taiwan
fDate :
6/1/2001 12:00:00 AM
Abstract :
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 the authors 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).
Keywords :
biomechanics; fuzzy neural nets; gesture recognition; handicapped aids; 3-D arm movements recognition; Taiwanese Sign Language; assistive technology; deaf people; fuzzy rule-based approach; gesture-based systems; spatiotemporal patterns; speaking aid; Auditory system; Character recognition; Deafness; Handicapped aids; Neural networks; Pattern recognition; Shape; Speech recognition; Speech synthesis; Synthesizers; Arm; Artificial Intelligence; Deafness; Fuzzy Logic; Gestures; Humans; Models, Theoretical; Movement; Recognition (Psychology); Sign Language; User-Computer Interface;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/7333.928579
