摘要
为了实现轮椅多种运动状态的智能控制,设计了一种肌电臂环与安卓平台组成的肌电轮椅控制系统。通过采集不同手势动作时的人体前臂表面肌电信号,对其进行数据处理与模式识别,配合蓝牙无线通信,实现了轮椅前进、后退、左转、右转与停止五种状态的实时检测与控制。实验表明,系统响应时间短,在线识别率高,提供了一种稳定、廉价、可扩展的基于肌电信号的智能轮椅控制方案。
To realize intelligent control on multiple exercise states of the wheelchair,the myoelectric wheelchair control system composed of myoelectric arm and Android platform is designed. We collect the EMG signals of the human forearm when different gesture movements are performed to process data and recognize pattern. Through the Bluetooth wireless communication,the results are used to real-time control and monitor the wheelchair＇ s five states： forward,backward,left turn,right turn and stop. Experiments show that the system has short response time and high online recognition rate. It provides us a stable,cheap and scalable control scheme for the intelligent wheelchair based on EMG signals.
作者
李鑫
祁蒙
董海清
张自强
LI Xin;QI Meng;DONG Hai-qing;ZHANG Zi-qiang(College of Information Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 201418,China)
出处
《仪表技术》
2018年第9期16-19,共4页
Instrumentation Technology
关键词
智能轮椅
肌电信号
特征提取
模式识别
人机接口
intelligent wheelchair
myoelectric signal
feature extraction
pattern recognition
the manmachine in-terface
