A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task

Hyeong Jin Kim; Min Ho Lee; Minji Lee

doi:10.1109/BCI48061.2020.9061634

A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task

Hyeong Jin Kim
, Min Ho Lee
, Minji Lee

Korea University
Nazarbayev University

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

23 Scopus citations

Abstract

Recently, smart home systems based on braincomputer interface (BCI) has attracted a wide range of interests in both industry and academia. However, the current BCI system has several shortcomings as it produces a comparatively lower accuracy for real-time implementations as well as the intuitive paradigm for the users cannot be well established here. Therefore, in this study, we proposed a highly intuitive BCI paradigm that combines event-related potential (ERP) with the speech-imagery task for the individual target objects. The decoding accuracy of the proposed paradigm was 88.1% (± 5.90) which is a much significant higher performance than a conventional ERP system. Furthermore, the amplitude of N700 components was significantly enhanced over frontal regions which are priory evoked by the speech-imagery task. Our results could be utilized to develop a smart home system so that it could be more user-friendly and convenient by means of delivering user's intentions both, intuitively and accurately.

Original language	English
Title of host publication	8th International Winter Conference on Brain-Computer Interface, BCI 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728147079
DOIs	https://doi.org/10.1109/BCI48061.2020.9061634
State	Published - Feb 2020
Event	8th International Winter Conference on Brain-Computer Interface, BCI 2020 - Gangwon, Korea, Republic of Duration: 26 Feb 2020 → 28 Feb 2020

Publication series

Name	8th International Winter Conference on Brain-Computer Interface, BCI 2020

Conference

Conference	8th International Winter Conference on Brain-Computer Interface, BCI 2020
Country/Territory	Korea, Republic of
City	Gangwon
Period	26/02/20 → 28/02/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

electroencephalography
event-related potential
imagined speech
smart home control system

Access to Document

10.1109/BCI48061.2020.9061634

Cite this

Kim, H. J., Lee, M. H., & Lee, M. (2020). A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task. In 8th International Winter Conference on Brain-Computer Interface, BCI 2020 Article 9061634 (8th International Winter Conference on Brain-Computer Interface, BCI 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BCI48061.2020.9061634

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title = "A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task",

abstract = "Recently, smart home systems based on braincomputer interface (BCI) has attracted a wide range of interests in both industry and academia. However, the current BCI system has several shortcomings as it produces a comparatively lower accuracy for real-time implementations as well as the intuitive paradigm for the users cannot be well established here. Therefore, in this study, we proposed a highly intuitive BCI paradigm that combines event-related potential (ERP) with the speech-imagery task for the individual target objects. The decoding accuracy of the proposed paradigm was 88.1\% (± 5.90) which is a much significant higher performance than a conventional ERP system. Furthermore, the amplitude of N700 components was significantly enhanced over frontal regions which are priory evoked by the speech-imagery task. Our results could be utilized to develop a smart home system so that it could be more user-friendly and convenient by means of delivering user's intentions both, intuitively and accurately.",

keywords = "electroencephalography, event-related potential, imagined speech, smart home control system",

author = "Kim, \{Hyeong Jin\} and Lee, \{Min Ho\} and Minji Lee",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 8th International Winter Conference on Brain-Computer Interface, BCI 2020 ; Conference date: 26-02-2020 Through 28-02-2020",

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doi = "10.1109/BCI48061.2020.9061634",

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Kim, HJ, Lee, MH & Lee, M 2020, A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task. in 8th International Winter Conference on Brain-Computer Interface, BCI 2020., 9061634, 8th International Winter Conference on Brain-Computer Interface, BCI 2020, Institute of Electrical and Electronics Engineers Inc., 8th International Winter Conference on Brain-Computer Interface, BCI 2020, Gangwon, Korea, Republic of, 26/02/20. https://doi.org/10.1109/BCI48061.2020.9061634

A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task. / Kim, Hyeong Jin; Lee, Min Ho; Lee, Minji.
8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9061634 (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

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

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AU - Lee, Minji

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N2 - Recently, smart home systems based on braincomputer interface (BCI) has attracted a wide range of interests in both industry and academia. However, the current BCI system has several shortcomings as it produces a comparatively lower accuracy for real-time implementations as well as the intuitive paradigm for the users cannot be well established here. Therefore, in this study, we proposed a highly intuitive BCI paradigm that combines event-related potential (ERP) with the speech-imagery task for the individual target objects. The decoding accuracy of the proposed paradigm was 88.1% (± 5.90) which is a much significant higher performance than a conventional ERP system. Furthermore, the amplitude of N700 components was significantly enhanced over frontal regions which are priory evoked by the speech-imagery task. Our results could be utilized to develop a smart home system so that it could be more user-friendly and convenient by means of delivering user's intentions both, intuitively and accurately.

AB - Recently, smart home systems based on braincomputer interface (BCI) has attracted a wide range of interests in both industry and academia. However, the current BCI system has several shortcomings as it produces a comparatively lower accuracy for real-time implementations as well as the intuitive paradigm for the users cannot be well established here. Therefore, in this study, we proposed a highly intuitive BCI paradigm that combines event-related potential (ERP) with the speech-imagery task for the individual target objects. The decoding accuracy of the proposed paradigm was 88.1% (± 5.90) which is a much significant higher performance than a conventional ERP system. Furthermore, the amplitude of N700 components was significantly enhanced over frontal regions which are priory evoked by the speech-imagery task. Our results could be utilized to develop a smart home system so that it could be more user-friendly and convenient by means of delivering user's intentions both, intuitively and accurately.

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Kim HJ, Lee MH, Lee M. A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task. In 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9061634. (8th International Winter Conference on Brain-Computer Interface, BCI 2020). doi: 10.1109/BCI48061.2020.9061634

A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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