• DocumentCode
    3150006
  • Title

    An Alpha-wave-based binaural beat sound control system using fuzzy logic and autoregressive forecasting model

  • Author

    Settapat, Sittapong ; Ohkura, Michiko

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Shibaura Inst. of Technol., Tokyo
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    109
  • Lastpage
    114
  • Abstract
    We are developing a new real-time control system for customizing auditory stimulus (the binaural beat sound) by judging user alpha waves to entrain a userpsilas feeling in the most relaxed way. Since brainwave activity provides the necessary predictive information for arousal states, we use an autoregressive forecasting model to estimate the frequency response series of the alpha frequency bands and the inverted-U concept to determine the userpsilas arousal state. A fuzzy logic controller is also employed to regulate the binaural beat control signal on a forecasting error signal. Our system allows comfortable user self-relaxation. The results of experiments confirm the constructed systempsilas effectiveness and necessity.
  • Keywords
    autoregressive processes; bioelectric phenomena; electroencephalography; error statistics; frequency estimation; frequency response; fuzzy control; hearing; medical control systems; medical signal processing; neurophysiology; EEG; alpha-wave-based binaural beat sound control system; auditory stimulus; autoregressive forecasting model; brain wave activity; comfortable user self-relaxation; error statistics; frequency response series estimation; fuzzy logic controller; inverted-U concept; real-time control system; user arousal state; Brain modeling; Control system synthesis; Control systems; Error correction; Frequency estimation; Frequency response; Fuzzy logic; Predictive models; Real time systems; State estimation; Alpha Wave; Autoregressive Model; Binaural Beat; Fuzzy Logic; biofeedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference, 2008
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-4-907764-30-2
  • Electronic_ISBN
    978-4-907764-29-6
  • Type

    conf

  • DOI
    10.1109/SICE.2008.4654631
  • Filename
    4654631