Real time gesture recognition in 3d space using selected classifiers

• Autorzy: Gadomer Ł. , Skoczylas M.
• Języki publikacji: EN

Abstrakty

EN

In this paper, authors propose a solution to track gestures of hands in 3-dimensional space that can be inserted into a CAVE3D environment. Idea of gestures recognition system is described and the results of research made on a recorded gesture data. In this study three selected classifiers to resolve this problem have been tested and results compared.

Słowa kluczowe

EN

3-dimensional space; gesture recognition; CAVE environment

PL

przestrzeń trójwymiarowa; rozpoznawanie gestów; środowisko

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Architecturae et Artibus
• Rocznik: 2014
• Tom: Vol. 6, no. 1
• Strony: 14--18
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Gadomer Ł.

• Bialystok University of Technology, Faculty of Informatics, ul. Wiejska 45A, 15-315 Bialystok, Poland

autor

Skoczylas M.

• Bialystok University of Technology, Faculty of Informatics, ul. Wiejska 45A, 15-315 Bialystok, Poland

Bibliografia

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• 3. Li Liu, Ling Shao (2013), Synthesis of spatiotemporal descriptors for dynamic hand gesture recognition using genetic programming, in: Automatic Face and Gesture Recognition (FG), 10th IEEE International Conference and Workshops on, vol., no., pp.1-7, 22-26 April.
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