Design of Human-Computer Interaction Control System Based on Hand-Gesture Recognition

被引：0

作者：

Wang Zhi-heng ^{[1
]}

Cao Jiang-tao ^{[1
]}

Liu Jin-guo ^{[2
]}

Zhao Zi-qi ^{[2
]}

机构：

[1] Liaoning Shihua Univ, Sch Informat & Control Engn, Fushun, Liaoning, Peoples R China

[2] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China

来源：

2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2017年

关键词：

Human-Computer Interaction control system; sample robot; gesture recognition; improved PSO-SVM algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A gesture recognition based Human-Computer Interaction control system is developed via LabVIEW in this paper. Furthermore, to solve the existing problems of lower precision and poor real-time ability in gesture recognition algorithm, an improved PSO-SVM classification algorithm of hand-gesture recognition is proposed. Firstly, the gesture sample data is collected by using five bending sensor of data glove, then, in order to improve the recognized precision, the data collected is preprocessed and the optimize the SVM kernel parameter value is found by using the improved PSO algorithm. Finally, the recognized hand-gesture is divided into numbered 1-11 control status values, and sent to the sample robot controller by wireless transmission module and achieving the realization of sampling robot motion control. The simulation results illustrate the effectiveness of designed method on

引用

页码：143 / 147

页数：5

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