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题名:
Static hand gesture recognition with parallel CNNs for space human-robot interaction
作者: Gao Q(高庆); Liu JG(刘金国); Ju, Zhaojie; Li YM(李杨民); Zhang, Tian(张天); Zhang, Lu
作者部门: 空间自动化技术研究室
通讯作者: 刘金国
会议名称: 10th International Conference on Intelligent Robotics and Applications, ICIRA 2017
会议日期: August 16-18, 2017
会议地点: Wuhan, China
会议录: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者: Springer Verlag
会议录出版地: Berlin
出版日期: 2017
页码: 462-473
收录类别: EI
ISSN号: 0302-9743
ISBN号: 978-3-319-65288-7
关键词: HRI ; Hand gesture recognition ; CNN ; Space robot
摘要: As a new type of human-robot interaction (HRI), hand gesture has many advantages such as natural operation, rich expression and not subject to environ-mental constraints. So it is very suitable for space human-robot interaction tasks in special and harsh environment. Considering that static hand gesture is one of the main gesture expressions in human-computer interaction, so a parallel convolution neural networks (CNNs) is designed to improve the accuracy of static hand gesture recognition in the conditions of complex background and changing illumination. In addition, the method is applied to the operation of space human-robot system with hand gesture control. Various space HRI hand gestures from different subjects are evaluated and tested, and experimental results demonstrate that the proposed method outperforms the single-channel CNN methods and other popular methods with a higher accuracy.
语种: 英语
产权排序: 1
EI收录号: 20173504107695
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/20867
Appears in Collections:空间自动化技术研究室_会议论文

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Recommended Citation:
Gao Q,Liu JG,Ju, Zhaojie,et al. Static hand gesture recognition with parallel CNNs for space human-robot interaction[C]. 10th International Conference on Intelligent Robotics and Applications, ICIRA 2017. Wuhan, China. August 16-18, 2017.Static hand gesture recognition with parallel CNNs for space human-robot interaction.
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文件名: Static hand gesture recognition with parallel CNNs for space human-robot interaction.pdf
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