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基于多Leap Motion的手势遥控无人平台方法研究
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摘要
为促进当前无人平台遥控的发展,本文提出了一种基于多Leap Motion的手势识别工作空间的设计方法。在此基础上,利用基于规则的分类和基于SVM的分类相结合的分类方法完成对遥控手势库的设计。最后以一个小型无人小车作为无人平台的典型对象,模拟月球表面复杂未知环境,完成对无人平台的一系列遥控任务,验证了这种方法的有效性和可行性。
In order to promote the development of unmanned platform remote control, this paper presents a design of gesture recognition workspace based on multi-Leap Motion. On this basis, the design of remote control gesture library is completed by the classification method based on rule classification and SVM-based classification. Finally, a small unmanned car is taken as a typical object of unmanned platform. Simulating the unknown environment of the moon surface, the paper completes a series of unmanned platform remote control tasks and verifies the effectiveness and feasibility of this method.
引文
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