A Vision-based Gesture Recognition System for Human-Robot Interaction

被引：3
|
作者：
Zhang, Jianjie [1 ]
Zhao, Mingguo [1 ]
机构：
[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4 | 2009年
关键词：
gesture recognition; relief algorithm; human-robot interaction;
D O I：
10.1109/ROBIO.2009.5420512
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper describes a gesture recognition system which can effectively recognize static single-hand gestures and be applied in complex environments. The system involves a vocabulary of 20 gestures consisting of Chinese sign language for certain letters and digits. Segmentation based on color learning and normalization based on image moment invariants are used to extract candidate hand regions. Its real-time performance is due to a novel combination of the voting theory and an improved relief algorithm. The module of multiple-region recognition is also added to our system to decrease effects of noise region. The recognition system is now used in our human-robot interaction project.
引用
收藏
页码：2096 / 2101
页数：6
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