摘要
智能轮椅能有效提高行动不便者在日常生活中的活动能力和自理能力,但目前智能轮椅的控制方案往往存在着控制动作困难,响应速度慢等难题.针对这一情况,本文结合现有生物电机械接口技术和设备控制技术,提出一套基于脑电信号和肌电信号协同控制的设备控制方案,该方案允许用户仅通过4种简单的头部动作,即使用眨眼、左咬合、右咬合和专注这4个动作控制设备前进、后退、停止、左右转向和速度状态.实验结果表明,该套控制方案能够有效应用于控制智能小车进行日常运动功能,且具有较高的控制准确率和较快的控制响应速度.
Intelligent wheelchairs can effectively improve the mobility and self-care ability of people with mobility disabilities in daily life, but the current control schemes of intelligent wheelchairs often have problems such as difficult control actions and slow response speed. For the above situations, this study puts forward an equipment control scheme based on the coordinated control of electroencephalogram(EEG) and electromyogram(EMG) considering the existing bioelectricity mechanical interface technology and equipment control technology. This scheme allows users to use only four simple head actions, i.e. blink, right or left bite, and concentration, to move the equipment forward or backward, to stop or turn the equipment, and to control the speed. The experimental results show that the scheme can be effectively applied to the controlling of intelligent cars for daily movement and has a high control accuracy and a fast control response speed.
作者
叶耀光
黄一帆
杨富宙
刘捷
潘家辉
YE Yao-Guang;HUANG Yi-Fan;YANG Fu-Zhou;LIU Jie;PAN Jia-Hui(School of Software,South China Normal University,Foshan 528225,China)
出处
《计算机系统应用》
2022年第3期75-84,共10页
Computer Systems & Applications
基金
国家自然科学基金面上项目(62076103)
广东省自然科学基金面上项目(2019A1515011375)。
关键词
脑电信号
肌电信号
协同控制
智能小车
electroencephalogram(EEG)
electromyogram(EMG)
coordinated control
intelligent car
