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
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