A method for selection of optimal hand gesture vocabularies

Helman Stern, Juan Wachs, Yael Edan

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


This work presents an analytical approach to design a gesture vocabulary (GV) using multiobjectives for psycho-physiological and gesture recognition factors. Previous works dealt only with selection of hand gestures vocabularies using rule based or ad-hoc methods. The analytical formulation in our research is a demonstration of the future need defined by previous research. A meta-heuristic approach is taken by decomposing the problem into two sub-problems: (i) finding the subsets of gestures that meet a minimal accuracy requirement, and (ii) matching gestures to commands to maximize the human factors objective. The result is a set of solutions from which a Pareto optimal subset is selected. An example solution from the Pareto set is exhibited using prioritized objectives.

Original languageEnglish
Pages (from-to)57-68
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5085 LNAI
StatePublished - 23 Feb 2009
Event7th International Gesture Workshop, GW 2007 - Lisbon, Portugal
Duration: 23 May 200725 May 2007


  • Feature selection
  • Fuzzy c-means
  • Gesture interfaces
  • Hand gesture recognition
  • Hand gesture vocabulary design
  • Human-computer interaction
  • Multiobjective optimization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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