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A Method for Selection of Optimal Hand Gesture Vocabularies

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Gesture-Based Human-Computer Interaction and Simulation (GW 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5085))

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Abstract

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.

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© 2009 Springer-Verlag Berlin Heidelberg

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Stern, H., Wachs, J., Edan, Y. (2009). A Method for Selection of Optimal Hand Gesture Vocabularies. In: Sales Dias, M., Gibet, S., Wanderley, M.M., Bastos, R. (eds) Gesture-Based Human-Computer Interaction and Simulation. GW 2007. Lecture Notes in Computer Science(), vol 5085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92865-2_6

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  • DOI: https://doi.org/10.1007/978-3-540-92865-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92864-5

  • Online ISBN: 978-3-540-92865-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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