Gesture Recognition in 3D Space Using Dimensionally Reduced Set of Features - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Gesture Recognition in 3D Space Using Dimensionally Reduced Set of Features

Łukasz Gadomer
  • Fonction : Auteur
  • PersonId : 1023054
Marcin Skoczylas
  • Fonction : Auteur
  • PersonId : 1024448

Résumé

In this study authors present a solution to track and recognize arbitrary gestures of hands in three dimensional space and review the recognition accuracy. The idea of this novel gesture recognition system is described and results of research made on a recorded gesture data set are presented. Gesture instances were defined by user standing in different distances from the controller, in different placements of their field of vision and with different speeds, making recognition velocity and position invariant. Authors’ goal was to find the minimal number of features that give satisfying gesture classification result in order to achieve a compromise between accuracy and computation time. In this publication progress of the research on gesture recognition problem is described and a comparative study is presented.
Fichier principal
Vignette du fichier
448933_1_En_15_Chapter.pdf (1.72 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01656209 , version 1 (05-12-2017)

Licence

Paternité

Identifiants

Citer

Łukasz Gadomer, Marcin Skoczylas. Gesture Recognition in 3D Space Using Dimensionally Reduced Set of Features. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. pp.167-179, ⟨10.1007/978-3-319-59105-6_15⟩. ⟨hal-01656209⟩
75 Consultations
53 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More