• 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