一种仿生机械手肌电控制系统的设计与实现  

Design and implementation of a myoelectric control system for bionic manipulator

作　　者：崔雪渭 彭熙[1,2,3] 颜顺 陈含丽子 杜笛箫 杨琬晨 CUI Xuewei;PENG Xi;YAN Shun;CHEN Hanlizi;DU Dixiao;YANG Wanchen(School of Computer Science,Central China Normal University,Wuhan 430079,China;Provincial Experimental Teaching Center of Elementary Computer Education,Wuhan 430079,China;Provincial Key Laboratory of Artificial Intelligence and Intelligent Learning,Wuhan 430079,China)

机构地区：[1]华中师范大学计算机学院,武汉430079 [2]湖北省高等学校计算机基础实验教学示范中心,武汉430079 [3]湖北省人工智能与智慧学习重点实验室,武汉430079

出　　处：《智能计算机与应用》2022年第11期209-215,共7页Intelligent Computer and Applications

基　　金：华中师范大学中央高校基本科研业务费专项资金科研项目(CCNU20ZN005);华中师范大学大学生创新创业训练计划项目(202110511079);湖北高校省级教学研究项目(2020135)。

摘　　要：为了实现仿生机械手对人手动作高精度地模仿,设计开发一款以树莓派为主控板、肌电传感器与Arduino UNO为信号采集核心的基于肌电控制技术的仿生机械手操控系统。该系统能够采集当前动作的肌电信号,并对其进行处理和分析,自动匹配当前动作并向仿生机械手发出相应指令,从而实现对人手动作的实时模仿。经过测试,该系统可以在服务器稳定的前提下可靠地进行工作,具有一定的创新意义和实用性。In order to realize the high-precision imitation of human hand action by bionic manipulator,a bionic manipulator control system based on EMG control technology is designed and developed,which takes Raspberry PI as the main control board and EMG sensor and Arduino UNO as the signal acquisition core.The system can collect the EMG signal of the current action,process and analyze it,automatically match the current action and send corresponding instructions to the bionic manipulator,so as to realize the real-time imitation of human hand action.After testing,the system could work reliably under the premise of server stability,which has certain innovative significance and practicality.

关 键 词：肌电控制 仿生机械手 肌电传感器 人工智能 

分 类 号：TP241.3[自动化与计算机技术—检测技术与自动化装置]