基于ros的无人机手势识别控制

Yangguang Yu, Xiangke Wang, Zhiwei Zhong, Yongwei Zhang
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引用次数: 23

摘要

作为实现人与多无人机系统自然交互的第一步,我们提出了一种基于手势识别的人机交互新方法。我们针对不同的无人机指令设计了不同的手势,并提出了一种稳定的算法来区分这些手势。然后,考虑到多无人机系统的操作可能需要多个协同操作人员,设计了一种基于位置信息和颜色信息的多操作人员识别算法。从而实现了多用户手势识别。最后,在机器人操作系统(ROS)框架下,将多操作者的手势识别结果与无人机控制相结合,利用AR无人机平台对整个系统的性能进行测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ROS-based UAV control using hand gesture recognition
As the first step towards the natural interaction between human and multi-UAV system, we present a novel human-UAV interaction method based on hand gesture recognition. We design different hand gestures corresponding to different UAV commands and propose a stable algorithm to distinguish these gestures. Then, considering the fact that the operation of multi-UAV system may need multiple cooperative operators, an algorithm based on position information and color information is designed to identify multiple operators. Thus multi-user recongnition by hand gestures is achieved. Lastly, we combine the results of hand gesture recognition of multiple operators with UAV control under Robot Operation System (ROS) framework and use AR Drone platform to test the whole system's performance.
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