Teleoperation of a Virtual iCub Robot under Framework of Parallel System via Hand Gesture Recognition

被引：0

作者：

Li, Chen ^{[1
]}

Ma, Hongbin ^{[1
]}

Yang, Chenguang ^{[1
,2
]}

Fu, Menyin ^{[1
]}

机构：

[1] Beijing Inst Technol, State Key Lab Intelligent Control & Decis Complex, Sch Automat, Beijing 100081, Peoples R China

[2] Univ Plymouth, Sch Comp & Math, Plymouth PL4 8AA, Devon, England

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2014年

基金：

英国工程与自然科学研究理事会;

关键词：

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：

This paper describes our preliminary development of a virtual robot teleoperation platform based on hand gesture recognition using visual information. Hand gestures in images captured by a camera are recognised to control a virtual iCub. We employ two methods to realise the classification: Adaptive Neuro-fuzzy Inference Systems (ANFIS) and Support Vector Machines (SVM). We realise the teleoperation of a virtual robot using iCubSimulator. The technique in the paper will enable us to teleoperate a physical robot in the future work. In addition, a video server is set up to monitor the real robot. By using the parallel system we are able to improve the robot's performance. Based on the techniques presented in this paper, the virtual iCub can perform the specified actions remotely in a natural manner.

引用

页码：1469 / 1474

页数：6

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