Graphical Gesture Commands' learning with the help of Customizable Gesture Menus - Inria - Institut national de recherche en sciences et technologies du numérique
Pré-Publication, Document De Travail Année : 2013

Graphical Gesture Commands' learning with the help of Customizable Gesture Menus

Peiyu Li
  • Fonction : Auteur
  • PersonId : 931323
Eric Anquetil

Résumé

The interactive tablets (pen-based or touch screen devices) offer users a new way to run commands by drawing gestures. This induces intuitive interaction but the learning of all gestures for user can be tedious when the set of commands is large. Our objectives are to allow user to draw natural handwritten gestures and to help him learn these gestures quickly. After studying some existing methods, we strongly believe that the personalization capability of gestures is really important for user. In this way, we present in this paper Customizable Gesture Menus associated with an evolving gesture recognition engine that can learn incrementally, starting from few data samples. The paper is focused on these menus that allow a simple and compact presentation of personalized gestures. Two comparative tests with 59 users are reported in this paper to evaluate this new concept.
Fichier principal
Vignette du fichier
igs2013_submission_13.pdf (374.6 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00809575 , version 1 (09-04-2013)

Identifiants

  • HAL Id : hal-00809575 , version 1

Citer

Peiyu Li, Eric Anquetil. Graphical Gesture Commands' learning with the help of Customizable Gesture Menus. 2013. ⟨hal-00809575⟩
372 Consultations
117 Téléchargements

Partager

More