A Real-time Dynamic Hand Gesture Recognition System Using Kinect Sensor
文献类型：会议论文
| 作者 | Yanmei Chen; Bing Luo; Yen-Lun Chen; Guoyuan Liang; Xinyu Wu |
| 出版日期 | 2015 |
| 会议名称 | IEEE Conference on Robotics and Biomimetics |
| 会议地点 | Zhuhai |
| 英文摘要 | The use of hand gestures provides an attractive alternative to cumbersome interface devices for HumanComputer Interaction (HCI). However, in dynamic gesture recognition area, hand tracking under a complicated environment and gesture spotting namely detecting the start and end point are the two most challenging topics. In our work, a realtime Kinect-based dynamic hand gesture recognition (HGR) system which contains hand tracking, data processing, model training and gesture classification is proposed. In the first stage, two states of the performed hand including open and closed are utilized to achieve gesture spotting and 3D motion trajectories of gestures are captured by Kinect sensor. Further, motion orientation is extracted as the unique feature and Support Vector Machine (SVM) is used as the recognition algorithm in the proposed system. The results of experiments conducted in our database containing 10 Arabic numbers from 0 to 9 and the 26 characters of alphabet show efficiency with an average recognition rate of 95.42% and real-time performance of our method. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6784]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Yanmei Chen,Bing Luo,Yen-Lun Chen,et al. A Real-time Dynamic Hand Gesture Recognition System Using Kinect Sensor[C]. 见:IEEE Conference on Robotics and Biomimetics. Zhuhai. |
入库方式： OAI收割
来源：深圳先进技术研究院
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