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Real-Time 3D Hand Gestures Recognition for Manipulation of Industrial Robots

机译:用于工业机器人操纵的实时3D手势识别

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摘要

This paper presents an innovative system for industrial robot manipulation through 3D hand gestures. The interaction between the human operator and the robotic system is done via a dynamically created 3D virtual environment which is a precise copy of the robot's real working environment. The virtual environment enhances the manipulation of different objects and the selection of the desired action, in a natural way, only though hand gestures. Unlike most of the HRI based systems, ours is not meant for moving the robot or its mobile arm from one place to another, but to perform a specific task comprising of a list of specific operations. This kind of interaction has an important advantage: it eliminates the dead-times which are specific to the direct-interaction based systems. The gesture recognition algorithm processes depth maps grabbed from a stereoscopic camera system and uses Dynamic Time Wrapping to compute the similarity between the hand trajectories acquired in real time and those from the gestures dictionary.
机译:本文提出了一种通过3D手势操作工业机器人的创新系统。操作员与机器人系统之间的交互是通过动态创建的3D虚拟环境完成的,该环境是机器人真实工作环境的精确副本。虚拟环境仅通过手势即可自然地增强对不同对象的操纵以及所需动作的选择。与大多数基于HRI的系统不同,我们的系统并不是要将机器人或其动臂从一个地方移动到另一个地方,而是要执行包括一系列特定操作的特定任务。这种交互具有一个重要的优势:它消除了直接交互系统所特有的停滞时间。手势识别算法处理从立体相机系统获取的深度图,并使用动态时间包装来计算实时获取的手轨迹与从手势字典获取的手轨迹之间的相似度。

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