article

Development of a neuro-feedback game based on motor imagery EEG

Authors:

Chenguang Yang,

Ruowei WangAuthors Info & Claims

Multimedia Tools and Applications, Volume 77, Issue 12

Pages 15929 - 15949

https://doi.org/10.1007/s11042-017-5168-x

Published: 01 June 2018 Publication History

Abstract

Electroencephalogram (EEG) has widely been used to monitor subjects/patients' mental states. Using the monitor results as feedback, neuro-feedback enables patients to learn to regulate their physiological and psychological states so that improvements in physical and psychological subjects/patients' states could be achieved. By analyzing EEG components generated by motor imagery, a mind-controlled game based on motor imagery is developed, including the design of BCI and the design of the video game. In the game, neuro-feedback is realized to in a visual manner, through which the users could learn to improve attention span. Based on motor imagery, EEG signal is classified into two categories, the left and right hand motor imagery. The accuracy of classification is up to 70%. The bandpower analysis results show that users' attention level improves during the experiment. In this neuro-feedback game system, EEG signal is not only used for monitoring but also used for game control. The game provides an attention state measurements for users. With the neuro-feedback in the BCI, the user and the game form a close loop interactively. The proposed BCI video game could not only be used for entertainment and relaxation purpose, but attention-span training purpose.

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Cited By

Pan ZCristea A(2024)Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and AbilitiesGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63031-6_5(49-66)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-63031-6_5
Wolf PGötzelmann T(2023)A Systematic Review of Interaction Approaches based on Visually Evoked PotentialsProceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3594806.3594862(396-401)Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1145/3594806.3594862
Wang ZYang CDai S(2020)A Fast Compression Framework Based on 3D Point Cloud Data for TelepresenceInternational Journal of Automation and Computing10.1007/s11633-020-1240-517:6(855-866)Online publication date: 31-Jul-2020
https://dl.acm.org/doi/10.1007/s11633-020-1240-5

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cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 77, Issue 12

June 2018

1482 pages

ISSN:1380-7501

Issue’s Table of Contents

Copyright © Copyright © 2018 Springer Science+Business Media, LLC, part of Springer Nature.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 June 2018

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Cited By

Pan ZCristea A(2024)Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and AbilitiesGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63031-6_5(49-66)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-63031-6_5
Wolf PGötzelmann T(2023)A Systematic Review of Interaction Approaches based on Visually Evoked PotentialsProceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3594806.3594862(396-401)Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1145/3594806.3594862
Wang ZYang CDai S(2020)A Fast Compression Framework Based on 3D Point Cloud Data for TelepresenceInternational Journal of Automation and Computing10.1007/s11633-020-1240-517:6(855-866)Online publication date: 31-Jul-2020
https://dl.acm.org/doi/10.1007/s11633-020-1240-5

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