Brain-Computer Interface: Generic Control Interface for Social Interaction Applications

被引:0
作者
Hintermueller, C. [1 ]
Guger, C.
Edlinger, G.
机构
[1] G Tec Med Engn GmbH, Schiedlberg, Austria
来源
Advances in Computational Intelligence, IWANN 2011, Pt I | 2011年 / 6691卷
关键词
brain-computer interface; BCI; P300; visual evoked potentials; speller; Second Life; Twitter; MENTAL PROSTHESIS; BCI; PERFORMANCE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
After suffering a more severe disease like spinal cord injury or stroke patients are often not able to interact or even communicate with their environment anymore, especially at the beginning of rehabilitation. Brain-computer interfaces (BCIs) can substitute this temporarily lost communication channels and might support rehabilitation by providing an alternative way for controlling a computer only by thoughts without any muscle activity. This enables the patient to communicate by writing letters on the screen, to stay socially in contact with friends or people outside the rehabilitation facility by participating in games like Second Life where they may appear as healthy persons. Another application is to control items in their room connected to the BCI system like the lights which can be turned off and on as it can be done in a virtual smart home without leaving the bed. In this paper a generic BCI interface is described which allows to control the aforementioned applications concurrently and transparently switch among them utilizing the P300 approach. The results of a recent study show that such a BCI can be used by patients suffering from cervical spinal cord injury almost as well as by healthy people which encourages us to think it may assist rehabilitation regarding the social aspect.
引用
收藏
页码:386 / 392
页数:7
相关论文
共 10 条
  • [1] P300-based BCI mouse with genetically-optimized analogue control
    Citi, Luca
    Poli, Riccardo
    Cinel, Caterina
    Sepulveda, Francisco
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2008, 16 (01) : 51 - 61
  • [2] The mental prosthesis: Assessing the speed of a P300-based brain-computer interface
    Donchin, E
    Spencer, KM
    Wijesinghe, R
    [J]. IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (02): : 174 - 179
  • [3] Edlinger G, 2009, LECT NOTES ARTIF INT, V5638, P732, DOI 10.1007/978-3-642-02812-0_83
  • [4] TALKING OFF THE TOP OF YOUR HEAD - TOWARD A MENTAL PROSTHESIS UTILIZING EVENT-RELATED BRAIN POTENTIALS
    FARWELL, LA
    DONCHIN, E
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1988, 70 (06): : 510 - 523
  • [5] The MindGame: A P300-based brain-computer interface game
    Finke, Andrea
    Lenhardt, Alexander
    Ritter, Helge
    [J]. NEURAL NETWORKS, 2009, 22 (09) : 1329 - 1333
  • [6] How many people are able to control a P300-based brain-computer interface (BCI)?
    Guger, Christoph
    Daban, Shahab
    Sellers, Eric
    Holzner, Clemens
    Krausz, Gunther
    Carabalona, Roberta
    Gramatica, Furio
    Edlinger, Guenter
    [J]. NEUROSCIENCE LETTERS, 2009, 462 (01) : 94 - 98
  • [7] Toward enhanced P300 speller performance
    Krusienski, D. J.
    Sellers, E. W.
    McFarland, D. J.
    Vaughan, T. M.
    Wolpaw, J. R.
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2008, 167 (01) : 15 - 21
  • [8] Ortner R., 2011, P IEEE S SE IN PRESS
  • [9] A P300 event-related potential brain-computer interface (BCI): The effects of matrix size and inter stimulus interval on performance
    Sellers, Eric W.
    Krusienski, Dean J.
    McFarland, Dennis J.
    Vaughan, Theresa M.
    Wolpaw, Jonathan R.
    [J]. BIOLOGICAL PSYCHOLOGY, 2006, 73 (03) : 242 - 252
  • [10] Brain-computer interfaces for communication and control
    Wolpaw, JR
    Birbaumer, N
    McFarland, DJ
    Pfurtscheller, G
    Vaughan, TM
    [J]. CLINICAL NEUROPHYSIOLOGY, 2002, 113 (06) : 767 - 791