论文信息 - FUZZY GLOVE FOR GESTURE RECOGNITION

FUZZY GLOVE FOR GESTURE RECOGNITION

This paper presents an application of a fuzzy rule-based aggregation to a dataglove for the recognition of gestures. The fuzzy glove is a dataglove that has fuzzy sensor functionalities. The approach used for the definition of numerical to linguistic conversion, and for the definition of the sets of rules is discussed.

Laurent Foulloy | Eric Benoit | Thomas Allevard

[1] Laurent Foulloy,et al. Fuzzy sensor aggregation: application to comfort measurement , 1994 .

[2] Lotfi A. Zadeh,et al. Quantitative fuzzy semantics , 1971, Inf. Sci..

[3] Michio Sugeno,et al. Introduction: The Real Contribution of Fuzzy Systems , 1998 .

[4] Vladimir Pavlovic,et al. Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[5] James M. Keller,et al. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing , 1999 .

[6] L. Finkelstein,et al. A review of the fundamental concepts of measurement , 1984 .

[7] Horst Bunke,et al. Syntactic and structural pattern recognition : theory and applications , 1990 .

[8] Laurent Foulloy,et al. Fuzzy symbolic sensors—From concept to applications , 1994 .

[9] David Zeltzer,et al. A survey of glove-based input , 1994, IEEE Computer Graphics and Applications.

[10] Eun-Jung Holden,et al. Adaptive classification of hand movement , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.