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Gestural Interaction Using Feature Classification
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Proceedings of the 2008 ACM symposium on Virtual reality software and technology
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Proceedings of the 2008 ACM symposium on Virtual reality software and technology
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Proceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction
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In this paper we present a novel computer vision based handtracking method, which is capable of simultaneously tracking 6+4 degrees of freedom (DOFs) of each human hand in real-time (25 frames per second) with the help of 3 (or more) off-the-shelf consumer cameras. '6+4 DOF' means that the system can track the global pose (6 continuous parameters for translation and rotation) of 4 different gestures. Different studies discovered the need for two-handed interaction to enable an intuitive 3D Human-Computer-Interaction. Previously, using both hands as at least 6 DOF input devices involved the use of either datagloves or markers. Applying our two-hand-tracking we evaluated the use of both hands as input devices for two applications: fly-through exploration of a virtual world and a mesh editing application.