Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms

Dae Hyeok Lee; Ji Hoon Jeong; Hyung Ju Ahn; Seong Whan Lee

doi:10.1109/BCI51272.2021.9385356

Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms

Dae Hyeok Lee, Ji Hoon Jeong, Hyung Ju Ahn, Seong Whan Lee

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

23 Citations (Scopus)

Abstract

Non-invasive brain-computer interface (BCI) has been developed for understanding users' intentions by using electroencephalogram (EEG) signals. With the recent development of artificial intelligence, there have been many developments in the drone control system. BCI characteristic that can reflect the users' intentions led to the BCI-based drone control system. When using drone swarm, we can have more advantages, such as mission diversity, than using a single drone. In particular, BCI-based drone swarm control could provide many advantages to various industries such as military service or industry disaster. BCI Paradigms consist of the exogenous and endogenous paradigms. The endogenous paradigms can operate with the users' intentions independently of any stimulus. In this study, we designed endogenous paradigms (i.e., motor imagery (MI), visual imagery (VI), and speech imagery (SI)) specialized in drone swarm control, and EEG-based various task classifications related to drone swarm control were conducted. Five subjects participated in the experiment and the performance was evaluated using the basic machine learning algorithm. The grand-averaged accuracies were 37.6% (± 6.78), 43.2% (± 3.44), and 31.6% (± 1.07) in MI, VI, and SI, respectively. Hence, we confirmed the feasibility of increasing the degree of freedom for drone swarm control using various endogenous paradigms.

Original language	English
Title of host publication	9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728184852
DOIs	https://doi.org/10.1109/BCI51272.2021.9385356
Publication status	Published - 2021 Feb 22
Event	9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021 - Gangwon, Korea, Republic of Duration: 2021 Feb 22 → 2021 Feb 24

Publication series

Name	9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021

Conference

Conference	9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021
Country/Territory	Korea, Republic of
City	Gangwon
Period	21/2/22 → 21/2/24

Bibliographical note

Funding Information:
This research was supported by the Defense Challengeable Future Technology Program of Agency for Defense Development, Republic of Korea.

Publisher Copyright:
© 2021 IEEE.

Keywords

brain-computer interface
drone swarm control
electroencephalogram
intuitive paradigm

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Signal Processing

Access to Document

10.1109/BCI51272.2021.9385356

Cite this

Lee, D. H., Jeong, J. H., Ahn, H. J., & Lee, S. W. (2021). Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. In 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021 Article 9385356 (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BCI51272.2021.9385356

Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. / Lee, Dae Hyeok; Jeong, Ji Hoon; Ahn, Hyung Ju et al.
9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9385356 (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021).

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

Lee, DH, Jeong, JH, Ahn, HJ & Lee, SW 2021, Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. in 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021., 9385356, 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021, Institute of Electrical and Electronics Engineers Inc., 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021, Gangwon, Korea, Republic of, 21/2/22. https://doi.org/10.1109/BCI51272.2021.9385356

Lee DH, Jeong JH, Ahn HJ, Lee SW. Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. In 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9385356. (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021). doi: 10.1109/BCI51272.2021.9385356

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Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

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