摘要
研究的目标是利用肌电信号实时控制仿生手的运动。使用所设计的系统,实现了肌电信号采集、处理和对所设计的仿生手的控制。通过试验验证了肌电信号的统计特性,用不同操作者的不同肌肉来控制和训练仿生手抓物体,试验结果表明仿生手的失误率小于0.5%。
The objective of this study is to control humanoid robot in real--time by using EMGs. EMGs were collected and processed by the designed system . The processed EMGs were used to control the humanoid robot. Some random features of EMGs were proved. Different muscles of different operators were used to control the humanoid robot to catch object. Experimental results show the failure rate of catching objects by the humanoid robot is less 0.5%.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2006年第5期488-492,共5页
China Mechanical Engineering
基金
国家自然科学基金资助项目(50375108)
天津市自然科学基金资助项目(033601611)
关键词
肌电信号
仿生手
阈值控制
上肢
EMGs
humanoid robot
threshold control
upper extremity