The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI

Dong Kyun Han; Min Ho Lee; John Williamson; Seong Whan Lee

doi:10.1109/IWW-BCI.2019.8737323

The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI

Dong Kyun Han, Min Ho Lee, John Williamson, Seong Whan Lee

Department of Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

In this study, we investigated the effect of real-Time neurofeedback systems by adjusting the speed of a racing car and report the difference in effect between virtual and real environments. Thirty participants were divided into two conditions of the neurofeedback system (i.e., racing in real track and virtual game). For the performance evaluation, the band power of resting state EEG data and cognitive tests (Stroop and Digit span) were evaluated before and after the neurofeedback training. In the result, a significant increase of band power in the alpha frequency range (8-13Hz) as well as the test score were observed in both the virtual and real environments. Furthermore, neurofeedback in the virtual environment showed enhanced training effects compared to the real environment. We conclude that the performance of the neurofeedback training can be profoundly effected by the system environment as various factors (e.g., motivation, reward) are involved in the performance.

Original language	English
Title of host publication	7th International Winter Conference on Brain-Computer Interface, BCI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538681169
DOIs	https://doi.org/10.1109/IWW-BCI.2019.8737323
Publication status	Published - 2019 Feb
Event	7th International Winter Conference on Brain-Computer Interface, BCI 2019 - Gangwon, Korea, Republic of Duration: 2019 Feb 18 → 2019 Feb 20

Publication series

Name	7th International Winter Conference on Brain-Computer Interface, BCI 2019

Conference

Conference	7th International Winter Conference on Brain-Computer Interface, BCI 2019
Country/Territory	Korea, Republic of
City	Gangwon
Period	19/2/18 → 19/2/20

Bibliographical note

Funding Information:
This research was supported in part by the Institute for Information and Communications Technology Promotion (IITP) through the Korea Government (MSIT) under Grant IITP-2015-1107, the SW Starlab support program, and under Grant 2017-0-00451, the Development of BCI-based Brain and Cognitive Computing Technology for Recognizing User’s Intentions using Deep Learning.

Publisher Copyright:
© 2019 IEEE.

Keywords

Alpha band power
Electroencephalography
Neurofeedback game
Neurofeedback training

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Signal Processing
Neuroscience (miscellaneous)

Access to Document

10.1109/IWW-BCI.2019.8737323

Cite this

Han, D. K., Lee, M. H., Williamson, J., & Lee, S. W. (2019). The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. In 7th International Winter Conference on Brain-Computer Interface, BCI 2019 Article 8737323 (7th International Winter Conference on Brain-Computer Interface, BCI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2019.8737323

The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. / Han, Dong Kyun; Lee, Min Ho; Williamson, John et al.
7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8737323 (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Han, DK, Lee, MH, Williamson, J & Lee, SW 2019, The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. in 7th International Winter Conference on Brain-Computer Interface, BCI 2019., 8737323, 7th International Winter Conference on Brain-Computer Interface, BCI 2019, Institute of Electrical and Electronics Engineers Inc., 7th International Winter Conference on Brain-Computer Interface, BCI 2019, Gangwon, Korea, Republic of, 19/2/18. https://doi.org/10.1109/IWW-BCI.2019.8737323

Han DK, Lee MH, Williamson J, Lee SW. The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. In 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8737323. (7th International Winter Conference on Brain-Computer Interface, BCI 2019). doi: 10.1109/IWW-BCI.2019.8737323

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abstract = "In this study, we investigated the effect of real-Time neurofeedback systems by adjusting the speed of a racing car and report the difference in effect between virtual and real environments. Thirty participants were divided into two conditions of the neurofeedback system (i.e., racing in real track and virtual game). For the performance evaluation, the band power of resting state EEG data and cognitive tests (Stroop and Digit span) were evaluated before and after the neurofeedback training. In the result, a significant increase of band power in the alpha frequency range (8-13Hz) as well as the test score were observed in both the virtual and real environments. Furthermore, neurofeedback in the virtual environment showed enhanced training effects compared to the real environment. We conclude that the performance of the neurofeedback training can be profoundly effected by the system environment as various factors (e.g., motivation, reward) are involved in the performance.",

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AB - In this study, we investigated the effect of real-Time neurofeedback systems by adjusting the speed of a racing car and report the difference in effect between virtual and real environments. Thirty participants were divided into two conditions of the neurofeedback system (i.e., racing in real track and virtual game). For the performance evaluation, the band power of resting state EEG data and cognitive tests (Stroop and Digit span) were evaluated before and after the neurofeedback training. In the result, a significant increase of band power in the alpha frequency range (8-13Hz) as well as the test score were observed in both the virtual and real environments. Furthermore, neurofeedback in the virtual environment showed enhanced training effects compared to the real environment. We conclude that the performance of the neurofeedback training can be profoundly effected by the system environment as various factors (e.g., motivation, reward) are involved in the performance.

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The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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