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首页> 外文会议>International conference on advanced concepts for intelligent vision systems >Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies
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Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies

机译：用于HCI研究的多摄像机手指跟踪和3D轨迹重建

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Three-dimensional human-computer interaction has the potential to form the next generation of user interfaces and to replace the current 2D touch displays. To study and to develop such user interfaces, it is essential to be able to measure how a human behaves while interacting with them. In practice, this can be achieved by accurately measuring hand movements in 3D by using a camera-based system and computer vision. In this work, a framework for multi-camera finger movement measurements in 3D is proposed. This includes comprehensive evaluation of state-of-the-art object trackers to select the most appropriate one to track fast gestures such as pointing actions. Moreover, the needed trajectory post-processing and 3D trajectory reconstruction methods are proposed. The developed framework was successfully evaluated in the application where 3D touch screen usability is studied with 3D stimuli. The most sustainable performance was achieved by the Structuralist Cognitive model for visual Tracking tracker complemented with the LOESS smoothing.
机译：三维人机交互具有形成下一代用户界面并取代当前的2D触摸显示器的潜力。为了研究和开发这样的用户界面，至关重要的是能够测量人与之交互时的行为方式。实际上，这可以通过使用基于摄像头的系统和计算机视觉来精确测量3D中的手部运动来实现。在这项工作中，提出了一种用于3D的多相机手指运动测量的框架。这包括对最新对象跟踪器的全面评估，以选择最合适的对象跟踪器来跟踪快速手势（例如指向动作）。此外，提出了所需的轨迹后处理和3D轨迹重建方法。在通过3D刺激研究3D触摸屏可用性的应用中，已成功评估了开发的框架。视觉跟踪跟踪器的结构主义认知模型与LOESS平滑相辅相成，实现了最可持续的性能。

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