• DocumentCode
    3207657
  • Title

    Satellite Television Remote Control System Based on Brain-Computer Interface

  • Author

    Wang, Hongtao ; Li, Ting ; He, Yihong ; Chen, Peng

  • Author_Institution
    Sch. of Inf. Eng., WuYi Univ., Jiangmen, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    264
  • Lastpage
    267
  • Abstract
    This paper presents the satellite television remote control system based on brain-computer interface. The Brain Controlled Satellite Television Remote System (BCSTRS) is a real time system that can help the patients suffering from Amyotrophic Lateral Sclerosis (ALS) to select TV channels or adjust volume using their brain waves. In this paper we propose an algorithm including data acquisition and process, feature extraction, pattern recognition and SVM classifier. Experiments demonstrated that the BCSTRS is able to achieve an averaged information transfer rate of approximately 18 b/min and 5 healthy subjects can control the BCSTRS efficiently with an average accuracy of 90%.
  • Keywords
    brain-computer interfaces; data acquisition; electroencephalography; feature extraction; medical signal processing; pattern recognition; support vector machines; SVM classifier; amyotrophic lateral sclerosis; brain-computer interface; data acquisition; data processing; feature extraction; pattern recognition; satellite television remote control system; support vector machines; Brain computer interfaces; Control systems; Data acquisition; Feature extraction; Pattern recognition; Real time systems; Satellite broadcasting; Support vector machine classification; Support vector machines; TV; P300; Satellite Television; brain–computer interface (BCI); support vector machine (SVM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.819
  • Filename
    5523468