A Self Adaptive Architecture for Hand-Tracked 3D Authoring Interface

نویسندگان

  • Fabrizio Nunnari
  • Alexis Heloir
چکیده

This paper presents a natural and intuitive interface that uses a consumer-range 3D hand capture device to interactively edit objects in 3D space. After assessing the potential benefit of 3D input interaction in a preliminary study, we propose a self-adaptive architecture that supports intuitive and efficient 3D manipulation while accounting for the user’s skills and instantaneous performance. While running, the system monitors the user’s behavior and performance to maintain a straightforward user model. This model then drives an online re-arrangement and re-parameterization of a rule-based system driving the interaction.

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تاریخ انتشار 2014