Robust gesture-based interaction system for manipulating service robot
文献类型：会议论文
| 作者 | Qunqun Xie; Guoyuan Liang; Cheng Tang; Xinyu Wu |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013 |
| 会议地点 | Yangzhou, Jiangsu, China |
| 英文摘要 | Natural and friendly interface is critical for the development of service robot.Gesture-based interface offers an easy and efficient way to interact with robots. In this paper, we implement a Gesture-based interaction system for manipulatingservice robot. A robust algorithm based on Support Vector Machines (SVM) for recognizing hand gesture is proposed. Our method first detects the hand region by a two-step strategy based on skin color as well as depth images. The Hu moment invariants are then extracted from the hand region. After that, an SVM classifier is trained and is employed to recognize the hand gestures, Finally the interactionsystem server translates the gesture into pre-defined commands and sends it to theservice robot “SIATRob”. The accuracy and effectiveness of the algorithm are examined over several videos with different participants under complex background, changing lights as well as image noises. Experimental results show that our method can reliably and accurately recognize hand gestures in real time. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4601]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Qunqun Xie,Guoyuan Liang,Cheng Tang,et al. Robust gesture-based interaction system for manipulating service robot[C]. 见:2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013. Yangzhou, Jiangsu, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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