Recognition of gestures in Arabic sign language using neuro-fuzzy systems

Artificial Intelligence

Volumn 133, Issue 1-2, 2001, Pages 117-138

  Al Jarrah, Omar ^a   Halawani, Alaa ^a  

^a JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Jordan)

Author keywords

Arabic sign language; Deaf people; Hand gestures; Neuro fuzzy; Recognition; Sign language

Indexed keywords

FEATURE EXTRACTION; FUZZY SETS; HUMAN COMPUTER INTERACTION; LEARNING ALGORITHMS;

NEURO-FUZZY SYSTEMS;

GESTURE RECOGNITION;

EID: 0035575486     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(01)00141-2     Document Type: Article

References (21)

1. A usable real-time 3D hand tracker
2. Fuzzy model identification based on cluster estimation
3. Gesture recognition
4. The design and use of steerable filters
5. Orientation histograms for hand gesture recognition
6. Television control by hand gestures
7. Computer vision for computer games
8. Computer vision for interactive computer graphics
9. ANFIS: Adaptive-network-based Fuzzy inference system
10. Classification of invariant image representations using a neural network
11. Real-time recognition system of Korean sign language based on elementary components
12. Visual interpretation of hand gestures for human-computer interaction: A review
13. FingerMouse: A freehand pointing interface
14. Fuzzy min-max neural networks - Part 1: Classification
15. Robust classification of hand postures against complex backgrounds
16. Face recognition by elastic bunch graph matching