title: A fuzzy rule-based approach to recognizing 3-D arm movements.
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 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).
authors.affiliation: Department of Computer Science and Information Engineering, National Central University, Taiwan, ROC.
authors.forename: M C
authors.initials: MC
authors.lastname: Su
authors.forename: Y X
authors.initials: YX
authors.lastname: Zhao
authors.forename: H
authors.initials: H
authors.lastname: Huang
authors.forename: H F
authors.initials: HF
authors.lastname: Chen
mesh_terms: 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