A Hand Gesture Recognition System based on GMM Method for Human-robot Interface

被引：2
|
作者：
Ho, Yihsin [1 ]
Nishitani, Takao [1 ]
Yamaguchi, Toru [1 ]
Sato-Shimokawara, Eri [1 ]
Tagawa, Norio [1 ]
机构：
[1] Tokyo Metropolitan Univ, Fac Syst Design, Tokyo 158, Japan
来源：
2013 SECOND INTERNATIONAL CONFERENCE ON ROBOT, VISION AND SIGNAL PROCESSING (RVSP) | 2013年
关键词：
Human-robot interface; Gaussian Mixture Model; Hand gesture recognition;
D O I：
10.1109/RVSP.2013.72
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a hand gesture recognition system for human-robot interface. Our research aims to provide users user-friendly operations in a more intuitive manner. We use the stereo camera to capture images as the primary source of information retrieval, and adapt Gaussian mixture model (GMM) method as the main method of image analysis. The GMM method we applied in this paper is a precise, stable and computationally efficient foreground segment method. Our system is mainly with the following three steps: take video by camera, obtain user's images based on GMM method, and recognize hand gesture. In this paper, we will focus on describing the system's overall concepts and GMM method. An experiment result of our prototype will also be discussed to show the research potential of our system.
引用
收藏
页码：291 / 294
页数：4
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