首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于表面肌电控制的虚拟人机交互系统
引用本文:杨宇,陈香,涂有强,张旭,杨基海.基于表面肌电控制的虚拟人机交互系统[J].系统仿真学报,2010,22(3).
作者姓名:杨宇  陈香  涂有强  张旭  杨基海
作者单位:中国科学技术大学电子科学与技术系,合肥,230027
基金项目:国家自然科学基金(60703069)
摘    要:实现了一种基于肌电信号手势识别的实时虚拟人机交互系统。系统采集受试者执行六类不同手势动作时的上肢肌肉表面肌电信号,对其进行模式识别,并将识别结果作为虚拟物体的控制信号,控制虚拟飞机执行三个自由度的飞行动作,从而实现人与虚拟环境的友好交互。对10位受试者进行的单用户和多用户控制测试实验表明,实现的虚拟人机交互系统可实现基于肌电信号的虚拟人机交互,且具有虚拟环境生动形象、控制准确率高等特点。

关 键 词:表面肌电信号  虚拟环境  人机交互  模式识别  

Human-machine Interaction System Based on Surface EMG Signals
YANG Yu,CHEN Xiang,TU You-qiang,ZHANG Xu,YANG Ji-hai.Human-machine Interaction System Based on Surface EMG Signals[J].Journal of System Simulation,2010,22(3).
Authors:YANG Yu  CHEN Xiang  TU You-qiang  ZHANG Xu  YANG Ji-hai
Institution:YANG Yu,CHEN Xiang,TU You-qiang,ZHANG Xu,YANG Ji-hai (Department of Electronic Science , Technology,University of Science & Technology of China,Hefei 230027,China)
Abstract:A real-time virtual human-machine interaction system was proposed based on the surface EMG-based gesture recognition technology. Surface EMG signals were collected from the upper limbs of the subject when they did six defined hand gestures. Then surface EMG pattern recognition algorithm was conducted on them and the results were used as input commands to control 3-DOF (degree of freedom) movements of the virtual plane in a virtual environment. Single-user and multi-user online test experiments were conducte...
Keywords:surface EMG  virtual environment  human-machine interaction  pattern recognition  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号