混合脑机接口系统的眨眼与运动想象控制方法

Hybrid Brain Computer Interface System Based on Blink and Motor Imagery Control Method

针对单一运动想象脑机接口实验控制命令数量不足的问题,在单一运动想象系统的基础上,提出基于眨眼控制干预移动机器人的研究方法.首先,采用主动形状模型算法进行人脸识别和人眼定位;然后,利用眼部纵横比算法计算实时的数值,实现实时眨眼次数的统计;最后,将与眨眼次数相匹配的眨眼策略转化为对应指令控制移动机器人运行,进而实现通过眨眼和运动想象控制实时干预移动机器人状态的目的.为了验证该方法的有效性,邀请数位受试者进行基于眨眼和运动想象控制的混合实验.实验结果表明:该方法能够准确、高效地干预移动机器人的实时状态.

Aiming at the problem of insufficient number of experimental control commands of single motor imagery brain computer interface,a research method of intervening mobile robot based on blink control is proposed on the basis of single motor imagery system.Firstly,the active shape model algorithm is used for face recognition and eye positioning.Then,the eye aspect ratio algorithm is used to calculate the real-time value to achieve real-time blink count statistics.Finally,the blink strategy which matches the blink count is converted into corresponding instructions to control the operation of the mobile robot,which can realize real-time intervention through blinking and motor imagery control the purpose of the state of the mobile robot.In order to verify the effectiveness of this method,several experimenters are invited to conduct a hybrid experiment based on blinking and motor imagery control.The experimental results show that this method can intervene the state of the mobile robot accurately and efficiently in the real-time.