| 引用本文: | 王行愚,蔡锋,金晶,张宇,王蓓.听觉脑–机接口的智能机器人控制系统[J].控制理论与应用,2015,32(9):1183~1190.[点击复制] |
| WANG Xing-Yu,CAI Feng,JIN Jing,ZHANG Yu,WANG Bei.Robot control system based on auditory brain-computer interface[J].Control Theory and Technology,2015,32(9):1183~1190.[点击复制] |
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| 听觉脑–机接口的智能机器人控制系统 |
| Robot control system based on auditory brain-computer interface |
| 摘要点击 3416 全文点击 1339 投稿时间：2015-04-02 修订日期：2015-05-30 |
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| DOI编号 10.7641/CTA.2015.50261 |
| 2015,32(9):1183-1190 |
| 中文关键词 脑控系统 智能化 机器人 机器视觉 脑–机接口 |
| 英文关键词 brain control system intelligentialize robot machine vision brain computer interface |
| 基金项目 国家自然科学基金：61203127, 61105122和 61305028，中央高校基本科研业务费：WG1414005, WH1314023 |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| 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. |
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