摘要
采用计算机模式识别分析残疾人的肌电动作信号，以获得大脑指挥手动作的各种肌电信号特征．利用模糊控制技术实现肌电假手的控制电路，并制作出能实际应用的控制电路．
This paper applies computer pattern recognition technique to the analysis of sigelectric signals of the handicapped, so that we can obtain some properties of myoelectric signals and input them to an artificial intelligence control circuit. Fuzzy control technology is adopted to realize the action of the prosthetics. Now the control circuits for practical application have been made.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1996年第8期96-99,共4页
Journal of Shanghai Jiaotong University
关键词
模式识别
模糊控制
判别边界
假肢
pattern recognition
fuzzy control
decision boundary
likelihood function
optimum classifier
threshold
