ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.03507
  4. Cited By
Design of an EEG-based Drone Swarm Control System using Endogenous BCI
  Paradigms
v1v2 (latest)

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

7 December 2020
Dae-Hyeok Lee
Hyung-Ju Ahn
Ji-Hoon Jeong
Seong-Whan Lee
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep
  Neural Networks
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural NetworksBalkan Conference in Informatics (BI), 2024
Dae-Hyeok Lee
Sung-Jin Kim
Si-Hyun Kim
126
3
0
30 Oct 2024
Auricular Vagus Nerve Stimulation for Enhancing Remote Pilot Training
  and Operations
Auricular Vagus Nerve Stimulation for Enhancing Remote Pilot Training and Operations
William J. Tyler
111
0
0
29 Aug 2024
Decoding High-level Imagined Speech using Attention-based Deep Neural
  Networks
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks
Dae-Hyeok Lee
Sung-Jin Kim
Keon Lee
105
6
0
13 Dec 2021
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based
  EEG Signals with Convolutional Autoencoder
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder
Dae-Hyeok Lee
Sung-Jin Kim
Seong-Whan Lee
143
3
0
15 Jul 2021
Towards Natural Brain-Machine Interaction using Endogenous Potentials
  based on Deep Neural Networks
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks
Hyung-Ju Ahn
Dae-Hyeok Lee
Ji-Hoon Jeong
Seong-Whan Lee
103
0
0
25 Jun 2021
Subject-Independent Brain-Computer Interface for Decoding High-Level
  Visual Imagery Tasks
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery TasksIEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Dae-Hyeok Lee
Dong-Kyun Han
Sung-Jin Kim
Ji-Hoon Jeong
Seong-Whan Lee
235
13
0
08 Jun 2021
1
Page 1 of 1