• DocumentCode
    3727581
  • Title

    Design of a visual information-based brain-computer interface control system

  • Author

    Huiping Hu;Jing Jin; Yu Zhang;Xingyu Wang

  • Author_Institution
    Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Ministry of Education, Shanghai 200237, China
  • fYear
    2015
  • Firstpage
    887
  • Lastpage
    891
  • Abstract
    Brain computer interface (BCI) could help patients to manipulate external devices based on the specific brain activities. One of the most popular BCI systems is the visual-based BCI system. Mostly, users were asked to pay attention not only to the target stimulus, but also to the real control target which would bring high workload to users and affect the control efficiency of BCI systems. In this paper, a real-time monitoring system was developed to solve this problem by showing the environment information from the camera on the computer screen. Five subjects took part in this experiment and all of them were asked to control a small car to the target position. Our result showed that all subjects could finish the task within two or three minutes. In this study, subject did not need to switch their attention on the car which was out of their sight, and it would help to improve the usability of BCI in the practical application.
  • Keywords
    "Electrodes","Silicon","Biology","Monitoring","Electroencephalography","Navigation","Robots"
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2015 11th International Conference on
  • Electronic_ISBN
    2157-9563
  • Type

    conf

  • DOI
    10.1109/ICNC.2015.7378108
  • Filename
    7378108