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A novel real-time gesture recognition algorithm for human-robot interaction on the UAV
Chen B(陈博); Hua CS(华春生); Han JD(韩建达); He YQ(何玉庆)
作者部门机器人学研究室
会议名称11th International Conference on Computer Vision Systems, ICVS 2017
会议日期July 10-13, 2017
会议地点Shenzhen, China
会议主办者City University of Hong Kong Shenzhen Research Institute; et al; Harbin Institute of Technology; Hong Kong University of Science and; Shenzhen Institutes of Advanced Technology, CAS; Technology; TU Wien
会议录名称Computer Vision Systems - 11th International Conference, ICVS 2017, Revised Selected Papers
出版者Springer Verlag
出版地Berlin
2017
页码518-526
收录类别EI
EI收录号20174304295422
产权排序1
ISSN号0302-9743
ISBN号978-3-319-68344-7
关键词Gesture Recognition Multi-feature Filtering On-line Training Uav Control
摘要This paper provides a new real-time gesture recognition technology for Unmanned Aerial Vehicle (UAV) Control. Despite of the tradition robot controlling system that uses the pre-defined program to control the UAV, this system allows the users to on-line design and control the UAV to finish the abrupt urgent task with different gestures. The system is composed of three parts: On-line personal feature training system, Gesture recognition system and UAV motion control system. In the first part, we collect and analyze user gestures, extract features data and train the recognition program in real time. In the second part, a multi-feature hierarchical filtering algorithm is applied to guarantee both the accuracy and real-time processing speed of our gesture recognition method. In the last part, the gesture recognition result is translated to a UAV through a data transmitter based on Mavlink protocol to achieve the human on-line control for the UAV. Through two extensive experiments, the effectiveness and efficiency of our method has been confirmed.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/21075
专题机器人学研究室
通讯作者Hua CS(华春生)
作者单位Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Chen B,Hua CS,Han JD,et al. A novel real-time gesture recognition algorithm for human-robot interaction on the UAV[C]//City University of Hong Kong Shenzhen Research Institute; et al; Harbin Institute of Technology; Hong Kong University of Science and; Shenzhen Institutes of Advanced Technology, CAS; Technology; TU Wien. Berlin:Springer Verlag,2017:518-526.
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