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

Volume

9

Issue

2

fYear

2001

fDate

6/1/2001 12:00:00 AM

Firstpage

191

Lastpage

201

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;

fLanguage

English

Journal_Title

Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Publisher

ieee

ISSN

1534-4320

Type

jour

DOI

10.1109/7333.928579

Filename

928579