An alpha-activity-based binaural beat sound entrainment system using arousal state model

Sittapong Settapat, Michiko Ohkura

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

Abstract

We developed a new real-time control system for customizing an auditory stimulus (the binaural beat sound) by judging a user's alpha waves to entrain his/her feeling in the most relaxed way. We use an autoregressive forecasting model to estimate the frequency response series of the alpha frequency bands and a fuzzy logiccontroller to regulate the binaural beat control signal on a forecasting error signal. The arousal state determination model plays a role in regulating an appropriate binaural beat sound correlating with a change in alpha activity. According to studies of the relationship between arousal state and alpha activity, the alpha activity level may state-dependent, which can be modeled following the "inverted-U" model. The inverted-U concept is employed to determine the user arousal state, and tries to understand the user arousal state through the change in alpha activity. From the results of experiments, it is confirmed that the inverted-U model for arousal state determination is an effective model to regulate a stimulus properly with the determined arousal state.

Original languageEnglish
Title of host publicationProceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008
Pages63-66
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008 - Yokohama
Duration: 2008 Dec 32008 Dec 5

Other

Other2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008
CityYokohama
Period08/12/308/12/5

Fingerprint

Acoustic waves
Real time control
Frequency bands
Frequency response
Control systems
Experiments

Keywords

  • Alpha activity
  • Arousal state model
  • Binaural beat
  • Brain waves entrainment
  • EEG
  • Inverted-U model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Media Technology

Cite this

Settapat, S., & Ohkura, M. (2008). An alpha-activity-based binaural beat sound entrainment system using arousal state model. In Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008 (pp. 63-66) https://doi.org/10.1145/1501750.1501764

An alpha-activity-based binaural beat sound entrainment system using arousal state model. / Settapat, Sittapong; Ohkura, Michiko.

Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008. 2008. p. 63-66.

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

Settapat, S & Ohkura, M 2008, An alpha-activity-based binaural beat sound entrainment system using arousal state model. in Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008. pp. 63-66, 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008, Yokohama, 08/12/3. https://doi.org/10.1145/1501750.1501764
Settapat S, Ohkura M. An alpha-activity-based binaural beat sound entrainment system using arousal state model. In Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008. 2008. p. 63-66 https://doi.org/10.1145/1501750.1501764
Settapat, Sittapong ; Ohkura, Michiko. / An alpha-activity-based binaural beat sound entrainment system using arousal state model. Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008. 2008. pp. 63-66
@inproceedings{6f5a9b129de6460c9f853be25d9cfca9,
title = "An alpha-activity-based binaural beat sound entrainment system using arousal state model",
abstract = "We developed a new real-time control system for customizing an auditory stimulus (the binaural beat sound) by judging a user's alpha waves to entrain his/her feeling in the most relaxed way. We use an autoregressive forecasting model to estimate the frequency response series of the alpha frequency bands and a fuzzy logiccontroller to regulate the binaural beat control signal on a forecasting error signal. The arousal state determination model plays a role in regulating an appropriate binaural beat sound correlating with a change in alpha activity. According to studies of the relationship between arousal state and alpha activity, the alpha activity level may state-dependent, which can be modeled following the {"}inverted-U{"} model. The inverted-U concept is employed to determine the user arousal state, and tries to understand the user arousal state through the change in alpha activity. From the results of experiments, it is confirmed that the inverted-U model for arousal state determination is an effective model to regulate a stimulus properly with the determined arousal state.",
keywords = "Alpha activity, Arousal state model, Binaural beat, Brain waves entrainment, EEG, Inverted-U model",
author = "Sittapong Settapat and Michiko Ohkura",
year = "2008",
doi = "10.1145/1501750.1501764",
language = "English",
isbn = "9781605583938",
pages = "63--66",
booktitle = "Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008",

}

TY - GEN

T1 - An alpha-activity-based binaural beat sound entrainment system using arousal state model

AU - Settapat, Sittapong

AU - Ohkura, Michiko

PY - 2008

Y1 - 2008

N2 - We developed a new real-time control system for customizing an auditory stimulus (the binaural beat sound) by judging a user's alpha waves to entrain his/her feeling in the most relaxed way. We use an autoregressive forecasting model to estimate the frequency response series of the alpha frequency bands and a fuzzy logiccontroller to regulate the binaural beat control signal on a forecasting error signal. The arousal state determination model plays a role in regulating an appropriate binaural beat sound correlating with a change in alpha activity. According to studies of the relationship between arousal state and alpha activity, the alpha activity level may state-dependent, which can be modeled following the "inverted-U" model. The inverted-U concept is employed to determine the user arousal state, and tries to understand the user arousal state through the change in alpha activity. From the results of experiments, it is confirmed that the inverted-U model for arousal state determination is an effective model to regulate a stimulus properly with the determined arousal state.

AB - We developed a new real-time control system for customizing an auditory stimulus (the binaural beat sound) by judging a user's alpha waves to entrain his/her feeling in the most relaxed way. We use an autoregressive forecasting model to estimate the frequency response series of the alpha frequency bands and a fuzzy logiccontroller to regulate the binaural beat control signal on a forecasting error signal. The arousal state determination model plays a role in regulating an appropriate binaural beat sound correlating with a change in alpha activity. According to studies of the relationship between arousal state and alpha activity, the alpha activity level may state-dependent, which can be modeled following the "inverted-U" model. The inverted-U concept is employed to determine the user arousal state, and tries to understand the user arousal state through the change in alpha activity. From the results of experiments, it is confirmed that the inverted-U model for arousal state determination is an effective model to regulate a stimulus properly with the determined arousal state.

KW - Alpha activity

KW - Arousal state model

KW - Binaural beat

KW - Brain waves entrainment

KW - EEG

KW - Inverted-U model

UR - http://www.scopus.com/inward/record.url?scp=67649400511&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67649400511&partnerID=8YFLogxK

U2 - 10.1145/1501750.1501764

DO - 10.1145/1501750.1501764

M3 - Conference contribution

SN - 9781605583938

SP - 63

EP - 66

BT - Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, ACE 2008

ER -