摘要
基于脑-机接口(Brain-computer interface,BCI)的脑-控技术发展迅速,取得较大进展。然而,现有研究多采用单人脑控方式,存在执行效率低、可控自由度低的问题,难以满足复杂条件下的操控任务需求。针对此问题,本文采用时-频-相混合编码的视图脑-机交互方法,设计双人协同策略,通过解码P300和稳态视觉诱发电位(Steady-state visual evoked potential,SSVEP)脑电特征,开发了108指令的双人协同脑-控机械臂系统,实现双人同时对汉字一笔一划的书写。8名被试在线平均正确率为87.92%,平均在线信息传输速率(Information-transfer rate,ITR)为66.00 b/min。该系统扩展了BCI信息交互方式,初步验证了协同BCI操控机械臂的可行性和有效性,为协同BCI提供了技术支撑。
Brain-controlled technology based on brain-computer interface(BCI)has developed rapidly and made great progress.However,the existing research mostly adopts the single-person brain-controlled manner,which has the problems of poor execution efficiency and low degree of controllability,making it difficult to meet the needs of complex manipulation tasks.To address this problem,this study adopts a time-frequency-phase hybrid encoding method,and designs a collaborative strategy.A two-person collaborative brain-controlled robotic arm system with 108 instructions has been developed,enabling two people to write Chinese characters simultaneously one stroke by one stroke.The average online accuracy of the eight subjects is 87.92%,and the corresponding average online information-transfer rate(ITR)is 66.00 b/min.This system extends the BCI information interaction manner,and preliminarily verifies the feasibility and effectiveness of collaborative BCI manipulation of robotic arm.It provides technical support for collaborative BCI.
作者
韩锦
董博文
刘邈
许敏鹏
明东
HAN Jin;DONG Bowen;LIU Miao;XU Minpeng;MING Dong(College of Precision Instruments and Optoelectronics Engineering,Tianjin University,Tianjin 300072,China;Academy of Medical Engineering and Translational Medicine,Tianjin University,Tianjin 300072,China)
出处
《数据采集与处理》
CSCD
北大核心
2022年第6期1401-1411,共11页
Journal of Data Acquisition and Processing
基金
国家杰出青年科学基金(81925020)
国家优秀青年科学基金(62122059)
国家自然科学基金(61976152,62106170)。
关键词
脑-机接口
脑控机械臂
双人协同
P300
稳态视觉诱发电位
brain-computer interface(BCI)
brain-controlled robotic arm
two-person collaboration
P300
steady-state visual evoked potential(SSVEP)
