基于LabVIEW的人体表面肌电信号手势识别  

Recognition of body sEMG signal gesture based on LabVIEW

作　　者：田新宇 孙振词 许宝忠[1] 刘鸣[1] TIAN Xin-yu, SUN Zhen-ci, XU Bao-zhong, LIU Ming(School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China)

机构地区：[1]天津大学精仪学院,天津300072

出　　处：《实验室科学》2018年第3期71-74,共4页Laboratory Science

摘　　要：随着科技发展的不断进步,人类对工具的操控和使用要求不断提高;一系列新型传感器和控制设备伴随着电子科技产业发展不断产生,人们对于交互的需求也越来越智能化、数字化。其中,手势识别作为人与人之间重要的交互沟通方式在测控领域有着巨大的潜力。实现手势识别有多种途径,其中基于人体表面肌电流(sEMG)的测量方法以其更加快捷简单的使用体验深受消费者期待。探讨了一种基于sEMG的手势识别方法,结合Lab VIEW平台进行了简单的分类和应用,为实现可携带式的sEMG手势识别设备提供一种实用方案。With the continuous development of science and technology,human manipulation and use of tools improve continuously. A series of new sensors and control devices associated with the development of electronic technology industry continues to produce and people＇s demand for interaction are also increasingly intelligent,digital. Among them,gesture recognition as an important communication between people in the field of measurement and control has great potential. There are many ways to achieve gesture recognition. Measurement of muscle current（ sEMG） based on human body is full of consumer expectations because it＇s more quick and easy to use. This paper explores a gesture recognition method based on sEMG and combines the Lab VIEW platform for a simple classification and application,in order to achieve portable sEMG gesture recognition equipment to provide a practical program.

关 键 词：手势识别 肌肉表面电信号 LABVIEW 

分 类 号：TP212.3[自动化与计算机技术—检测技术与自动化装置] TP319[自动化与计算机技术—控制科学与工程]