DocumentCode
427494
Title
Hand gesture vocabulary design: a multicriteria optimization
Author
Stern, Helman I. ; Wachs, Juan P. ; Edan, Yael
Author_Institution
Dept. of Ind. Eng. & Manage., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Volume
1
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
19
Abstract
A global approach to hand gesture vocabulary (GV) design is proposed which includes human as well as technical design factors. The human centered desires (intuitiveness, comfort) of multiple users are implicitly represented through indices obtained from ergonomic studies representing the psycho-physiological aspects of users. The main technical aspect considered is that of machine recognition of gestures. We believe this is the first conceptualization of the optimal hand gesture design problem in analytical form. The problem is formulated as a multicriteria optimization problem (MCOP) for which a 3D representation of the solution space is used to display candidate solutions, as well as Pareto optimal ones. A computational example is given for the design of a small robot command GV using the MCOP procedure.
Keywords
Pareto optimisation; ergonomics; gesture recognition; operations research; Pareto optimal; gesture interface; hand gesture vocabulary design; human ergonomic; multicriteria optimization; psycho physiological factor; Cameras; Design methodology; Design optimization; Engineering management; Ergonomics; Human computer interaction; Industrial engineering; Pareto optimization; Psychology; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1398266
Filename
1398266
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