摘要
脑-机接口系统普遍存在控制命令单一、控制效率低和控制负担重等问题.通过改进控制目标的功能或加入智能化模块可以从一定程度上改善这个问题;但这方面的研究工作相对较少.如何针对残疾人的实际情况,研究智能控制与脑-机接口系统的有效切合点,是脑-机接口系统智能化的关键所在.本文针对视觉缺陷残疾人,提出一种结合机器视觉功能的听觉脑-机接口系统,将机器人自动视觉搜索,目标智能识别与听觉脑-机接口系统相结合,利用听觉脑-机接口系统向机器人发出简单人名指令,机器人将根据指令自动搜索识别,实现目标的自动跟踪.在一定程度上弥补视觉损伤病人在日常生活中的缺陷,也为脑-机接口的智能化提供了一个依据.
Monotony,low efficiency and heavy burden are common drawbacks in the brain-computer interface（BCI）system.Those drawbacks can be alleviated by optimizing the functions of controlled devices with intelligent methods.However,there have been few studies related to this work.The key problem is how to find the proper way to apply the intelligent method to BCI system based on the deficiency of disabled patients.In this paper,we present an auditory-based brain computer interface for controlling a robot with machine vision function for visually impaired patients.The robot searches and tracks the target based on the name which has been sent to the robot by the audio-based BCI.To some extent,this system helps the visually impaired patients to offset the deficiency in their daily life and sets as an example for the realization of intelligent brain computer interface system.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2015年第9期1183-1190,共8页
Control Theory & Applications
基金
国家自然科学基金(61203127,91420302,61305028)
中央高校基本科研业务费专项资金项目(WG1414005,WH1314023)资助~~
关键词
脑控系统
智能化
机器人
机器视觉
脑-机接口
brain control system
intelligentize
robot
machine vision
brain computer interface
