DocumentCode :
1899011
Title :
Hand gesticulation interpretation via smart sensing
Author :
Alsayegh, O. ; Vujovic, N. ; Brzakovic, D.
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
Volume :
2
fYear :
1994
fDate :
31 Oct-2 Nov 1994
Firstpage :
1272
Abstract :
This paper describes a part of a vision system that interprets hand gesticulation. The system consists of three sub-systems each of which comprises a number of modules targeted at performing specific functions. The modules contain adaptive image processing and pattern recognition algorithms. The first sub-system is a hand-motion tracker that determines hand trajectory in a 3-D space using a sequence of low-resolution images. The second sub-system interprets the hand articulation using a smart sensor that provides selective views of variable resolution. The third sub-system fuses the outputs of the motion tracker and smart sensor and gives the meaning to hand gesticulation. The paper discusses the technical details of the algorithms used for interpreting hand articulation
Keywords :
adaptive signal processing; computer vision; feature extraction; image resolution; image sequences; intelligent sensors; tracking; 3-D space; adaptive image processing algorithms; feature extraction; hand articulation; hand gesticulation interpretation; hand trajectory; hand-motion tracker; low-resolution images sequence; motion tracker; pattern recognition algorithms; smart sensor; vision system; Auditory system; Cameras; Fuses; Handicapped aids; Image processing; Machine vision; Motion analysis; Pattern recognition; Shape; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-6405-3
Type :
conf
DOI :
10.1109/ACSSC.1994.471663
Filename :
471663
Link To Document :
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