An integrated approach of real-time hand gesture recognition based on feature points

被引：0

作者：

She, Yingying ^{[1
]}

Jia, Yunzhe ^{[1
]}

Gu, Ting ^{[1
]}

He, Qun ^{[1
]}

Wu, Qingqiang ^{[1
]}

机构：

[1] Software School, Xiamen University, Xiamen

来源：

International Journal of Multimedia and Ubiquitous Engineering | 2015年 / 10卷 / 04期

关键词：

Feature points; Hand gesture recognition; HCI;

D O I：

10.14257/ijmue.2015.10.4.39

中图分类号：

学科分类号：

摘要：

Hand Gesture recognition systems enable people to interact with digital systems naturally. Due to the spread of body motion capture device, depth information is available for getting more delicate and effective gesture recognition results. However, due to the limitation of devices such as Microsoft Kinect, it is still very difficult to obtain hand gesture information in rela-time. This paper proposes an integrated approach of real-time hand gesture recognition based on feature points. It explains our solutions for hand segmentation and feature points abstraction based on real-time motion captured images. Having been tested with a series of applications, our method is proved to be robust and effective, and suitable for further extension in real-time hand gesture recognition systems. © 2015 SERSC.

引用

页码：413 / 428

页数：15

共 17 条

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