Iteratively Calibratable Network for Reliable EEG-Based Robotic Arm Control-Reference-Cited by-同舟云学术

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Iteratively Calibratable Network for Reliable EEG-Based Robotic Arm Control

Published:2024 Issue: Volume:32 Page:2793-2804
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Lee Byeong-Hoo¹^ORCID,Cho Jeong-Hyun¹^ORCID,Kwon Byung-Hee¹^ORCID,Lee Minji²^ORCID,Lee Seong-Whan³^ORCID

Affiliation:

1. Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea

2. Department of Biomedical Software Engineering, The Catholic University of Korea, Bucheon, South Korea

3. Department of Artificial Intelligence, Korea University, Seoul, South Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT (MSIT)

Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant

Korea Government (MSIT)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7333/10398877/10613900.pdf?arnumber=10613900

Reference58 articles.

1. A Brain–Machine Interface to Navigate a Mobile Robot in a Planar Workspace: Enabling Humans to Fly Simulated Aircraft With EEG

2. Quantitative EEG Evaluation During Robot-Assisted Foot Movement

3. Enhanced System Robustness of Asynchronous BCI in Augmented Reality Using Steady-State Motion Visual Evoked Potential

4. A Brain–Robot Interaction System by Fusing Human and Machine Intelligence

5. BMI control of a third arm for multitasking

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