Hand gesture vocabulary design: A multicriteria optimization

Helman I. Stern, Juan P. Wachs, Yael Edan

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

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.

Original languageEnglish
Pages (from-to)19-23
Number of pages5
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume1
StatePublished - 1 Dec 2004
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
Duration: 10 Oct 200413 Oct 2004

Keywords

  • Hand gesture
  • Human interfaces
  • Intuitive interfaces
  • Man-machine interaction
  • Multicriteria optimization
  • Multiobjective decision
  • Optimal vocabulary

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Hand gesture vocabulary design: A multicriteria optimization'. Together they form a unique fingerprint.

Cite this