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Vision-Based Interpretation of Hand Gestures for Remote Control of a Computer Mouse

机译:基于视觉的计算机鼠标遥控手势的解释

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This paper presents a vision-based interface for controlling a computer mouse via 2D and 3D hand gestures. The proposed interface builds upon our previous work that permits the detection and tracking of multiple hands that can move freely in the field of view of a potentially moving camera system. Dependable hand tracking, combined with fingertip detection, facilitates the definition of simple and, therefore, robustly interpretable vocabularies of hand gestures that are subsequently used to enable a human operator convey control information to a computer system. Two such vocabularies are defined, implemented and validated. The first one depends only on 2D hand tracking results while the second also makes use of 3D information. As confirmed by several experiments, the proposed interface achieves accurate mouse positioning, smooth cursor movement and reliable recognition of gestures activating button events. Owing to these properties, our interface can be used as a virtual mouse for controlling any Windows application.
机译:本文介绍了一种基于视觉的界面,用于通过2D和3D手势控制计算机鼠标。所提出的界面在我们之前的工作中构建,允许检测和跟踪可以在可能移动的相机系统的视野中自由移动的多手。可靠的手跟踪与指尖检测结合促进了简单的定义,因此,稳健地可解释的手势词手势的词汇表,其随后用于使人类运营商将控制信息传送到计算机系统。定义,实施和验证了两个这样的词汇表。第一个仅依赖于2D手跟踪结果,而第二则在第二种信息中使用3D信息。如几个实验所确认,所提出的界面实现精确的鼠标定位,光滑的光标运动和可靠识别手势激活按钮事件。由于这些属性,我们的界面可以用作用于控制任何Windows应用程序的虚拟鼠标。

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