A Continuous Control Scheme for Multifunctional Robotic Arm with Surface EMG Signal

被引：0
|
作者：
Hu, Pinghua [1 ]
Li, Shunchong [1 ]
Chen, Xinpu [1 ]
Zhang, Dingguo [1 ]
Zhu, Xiangyang [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
来源：
INTELLIGENT ROBOTICS AND APPLICATIONS, PT I | 2010年 / 6424卷
关键词：
surface electromyographic (sEMG) signal; classification; robotic arm; continuous control; DSP; MYOELECTRIC CONTROL;
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 applies real time pattern recognition into the control of robotic hand with surface electromyographic (sEMG) signal. We focus on the hardware system design and the control strategy implementation. Time domain statistic methods are employed to extract the features, which have good effects on the pattern recognition. After the feature dimension reduction by Fisher linear discriminant (FLD), the feature vector is classified by a multi-layer perception (MLP) neural network. At last the data of several subjects is analyzed, and it shows good recognition accuracy. Using this system, the subjects can control a robotic arm to perform desired movements intuitively.
引用
收藏
页码：81 / 91
页数：11
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