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Remote Vision-Based Multi-type Gesture Interaction

机译:基于远程视觉的多种手势交互

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Gestures offer a possibility of interaction with technical systems if other communication channels are excluded, for instance because of distance, noise, or usage for other purposes. However, gestures as the only mode of interaction lead to the problem of deciding whether a posture or motion of the user is indeed a gesture, in particular if commands are issued just from time to tune. In this contribution, we overcome this problem by combining different gesture types. The types we use are static hand gestures based on hand postures, dynamic hand gestures based on hand motions, and pointing gestures based on hand or arm location. The gestures are acquired by computer-vision. In the case of remote interaction a difficulty is that some gesture types require a global view of the interaction space while others need local observation, like e.g. hand postures. We present a solution in which a camera with computer-controlled pan, tilt, and zoom is controlled by information captured by this camera, as well as by information captured by static cameras which survey the complete interaction space.
机译:如果排除其他通信渠道(例如,由于距离,噪音或出于其他目的的使用),则手势可以与技术系统进行交互。但是,手势作为唯一的交互方式会导致确定用户的姿势或动作是否确实是手势的问题,特别是如果只是不时发出命令以进行调整的话。在此贡献中,我们通过组合不同的手势类型来克服此问题。我们使用的类型是基于手势的静态手势,基于手势的动态手势以及基于手或手臂位置的指向手势。手势是通过计算机视觉获取的。在远程交互的情况下,困难在于某些手势类型需要交互空间的全局视图,而另一些手势需要局部观察,例如。手势。我们提出了一种解决方案,其中具有由计算机控制的平移,倾斜和缩放的摄像机由此摄像机捕获的信息以及调查整个交互空间的静态摄像机捕获的信息来控制。

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