Line Tracking Control of a Mobile Robot Using EMG Signals from Human Hand Gestures

被引：0
|
作者：
Kim, Yeong Jae [1 ]
Lee, Hyun Seon [1 ]
Jung, Seul [1 ]
机构：
[1] Chungnam Natl Univ, Dept Mechatron Engn, Taejon 305764, South Korea
来源：
2015 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | 2015年
关键词：
Mobile robot; line tracking control; EMG signals; pattern recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This video shows the line tracking control performance of a mobile robot commanded remotely through human hand gesture recognition using the biological signals. The biological signals are obtained by electromyography (EMG) sensors attached on the skin of a human arm. EMG signals of two channels are captured from the skin of a human arm according to four different human gesture motions. The EMG signals are filtered and classified into four commands of move forward, move back, turn right and turn left to control the mobile robot.
引用
收藏
页码：354 / 354
页数：1
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