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

Sittapong Settapat, Michiko Ohkura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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 user's 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 user's 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 system's effectiveness and necessity.

Original languageEnglish
Title of host publicationProceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Pages109-114
Number of pages6
DOIs
Publication statusPublished - 2008
EventSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan
Duration: 2008 Aug 202008 Aug 22

Publication series

NameProceedings of the SICE Annual Conference

Conference

ConferenceSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Country/TerritoryJapan
CityTokyo
Period08/8/2008/8/22

Keywords

  • Alpha wave
  • Autoregressive model
  • Binaural beat
  • Biofeedback
  • Fuzzy logic

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'An alpha-wave-based binaural beat sound control system using fuzzy logic and autoregressive forecasting model'. Together they form a unique fingerprint.

Cite this