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Virtual Whiteboard: A gesture-controlled pen-free tool emulating school whiteboard

机译:虚拟白板:一种手势控制的无笔工具,可模拟学校白板

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In the paper the so-called Virtual Whiteboard is presented which may be an alternative solution for modern electronic whiteboards based on electronic pens and sensors. The presented tool enables the user to write, draw and handle whiteboard contents using his/her hands only. An additional equipment such as infrared diodes, infrared cameras or cyber gloves is not needed. The user's interaction with the Virtual Whiteboard computer application is based on dynamic hand gesture recognition. Gestures are recognized in the process of analyzing video stream obtained from a webcam coupled with a multimedia projector displaying whiteboard contents. The tracking positions of hands in the image is supported by Kalman filtering. In the paper the hardware and software of the Virtual Whiteboard is presented with a special focus on utilizing Kalman filters for prediction of consecutive hand positions. For the gestures applied to handle whiteboard contents, examined efficacy of Kalman filter supported recognition and the efficacy without using the filtering is given. In addition, the results of system efficiency tests are provided.
机译:在本文中,提出了所谓的虚拟白板,它可能是基于电子笔和传感器的现代电子白板的替代解决方案。所提供的工具使用户只能使用他/她的手来书写,绘制和处理白板内容。不需要其他设备,例如红外二极管,红外摄像机或网络手套。用户与Virtual Whiteboard计算机应用程序的交互基于动态手势识别。在分析从网络摄像头与显示白板内容的多媒体投影仪耦合的视频流的过程中可以识别手势。卡尔曼滤波支持图像中手的跟踪位置。在本文中,虚拟白板的硬件和软件将重点介绍如何利用卡尔曼滤波器预测连续的手部位置。对于用于处理白板内容的手势,检查了卡尔曼过滤器支持识别的功效,并给出了不使用过滤的功效。此外,还提供了系统效率测试的结果。

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