INTAIRACT: Joint hand gesture and fingertip classification for touchless interaction
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INTAIRACT: Joint Hand Gesture and Fingertip Classification for Touchless Interaction (203,0Kb) (Accés restringit)
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Tipus de documentComunicació de congrés
Data publicació2012
EditorSpringer
Condicions d'accésAccés restringit per política de l'editorial
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In this demo we present intAIRact, an online hand-based
touchless interaction system. Interactions are based on easy-to-learn hand
gestures, that combined with translations and rotations render a user
friendly and highly configurable system. The main advantage with respect
to existing approaches is that we are able to robustly locate and
identify fingertips. Hence, we are able to employ a simple but powerful alphabet
of gestures not only by determining the number of visible fingers
in a gesture, but also which fingers are being observed. To achieve such a
system we propose a novel method that jointly infers hand gestures and
fingertip locations using a single depth image from a consumer depth
camera. Our approach is based on a novel descriptor for depth data, the
Oriented Radial Distribution (ORD) [1]. On the one hand, we exploit the
ORD for robust classification of hand gestures by means of efficient k-NN
retrieval. On the other hand, maxima of the ORD are used to perform
structured inference of fingertip locations. The proposed method outperforms
other state-of-the-art approaches both in gesture recognition and
fingertip localization. An implementation of the ORD extraction on a
GPU yields a real-time demo running at approximately 17fps on a single
laptop
CitacióSuau, X. [et al.]. INTAIRACT: Joint hand gesture and fingertip classification for touchless interaction. A: European Conference on Computer Vision. "Computer Vision – ECCV 2012. Workshops and Demonstrations". Florència: Springer, 2012, p. 602-606.
ISBN978-3-642-33884-7
Versió de l'editorhttp://link.springer.com/chapter/10.1007/978-3-642-33885-4_62
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INTAIRACTJointH ... orTouchlessInteraction.pdf | INTAIRACT: Joint Hand Gesture and Fingertip Classification for Touchless Interaction | 203,0Kb | Accés restringit |