Hand Gesture Tracking and Recognition based Human-Computer Interaction System and Its Applications
文献类型：会议论文
| 作者 | Kai Li; Jun Cheng; Qieshi Zhang; Jianming Liu |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | Wuyi Mountain |
| 英文摘要 | Abstract – In this paper, we propose a human-computer interaction (HCI) system for entertainment or education via a depth-sensing camera. The whole system is comprised of three modules: hand detection, hand tracking, and gesture recognition. In our system, specifically, hand detection is based entirely on computer vision and do not use any markers. We utilize the Kalman filter and depth data from the Kinect to predict the hand position making the tracking smooth and robust. And we extract the apparent gestural features to recognize gestures, which are adaptable and quick. Two applications are in place to demonstrate the system: writing board, in which the user can freely draw lines in the air using their hand, and a classic game, Gluttonous snake, which is transformed into a novel game by using our framework.The system we develop is highly extendible and can be used in a wide variety of other interactive scenarios. |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13785]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Kai Li,Jun Cheng,Qieshi Zhang,et al. Hand Gesture Tracking and Recognition based Human-Computer Interaction System and Its Applications[C]. 见:. Wuyi Mountain. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。