Static hand gesture recognition with parallel CNNs for space human-robot interaction
文献类型：会议论文
| 作者 | Li YM(李杨民); Gao Q(高庆) ; Liu JG(刘金国); Ju, Zhaojie; Zhang, Tian; Zhang, Lu
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| 出版日期 | 2017 |
| 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 |
| 关键词 | HRI Hand gesture recognition CNN Space robot |
| 页码 | 462-473 |
| 通讯作者 | Liu JG(刘金国) |
| 中文摘要 | 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. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 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 |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-319-65288-7 |
| 源URL | [http://ir.sia.cn/handle/173321/20867]  |
| 专题 | 沈阳自动化研究所_空间自动化技术研究室 |
| 作者单位 | 1.University of the Chinese Academy of Science, Beijing, 100049, China 2.The Department of Electromechanical Engineering, University of Macau, Taipa, 999078, China 3.Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China 4.The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China 5.School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, United Kingdom |
| 推荐引用方式 GB/T 7714 | Li YM,Gao Q,Liu JG,et al. Static hand gesture recognition with parallel CNNs for space human-robot interaction[C]. 见:10th International Conference on Intelligent Robotics and Applications, ICIRA 2017. Wuhan, China. August 16-18, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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