Towards Motor Imagery Classification of Finger Tapping by Both Hands for Controlling a Finger-Arm Bionic Robot-Reference-Cited by-同舟云学术

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Towards Motor Imagery Classification of Finger Tapping by Both Hands for Controlling a Finger-Arm Bionic Robot

Published:2024-02-26 Issue: Volume:13 Page:1-4
ISSN:
Container-title:2024 12th International Winter Conference on Brain-Computer Interface (BCI)
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Author:

Yu Seong-Hyun¹,Go Young-Min¹,Park Hyeong-Yeong¹,Lee Seo-Jin¹,Lee Minji²,Jeong Ji-Hoon³

Affiliation:

1. Chungbuk National University,Dept. Computer Science,Cheongju,Republic of Korea

2. Chungbuk National University,School of Computer Science,Cheongju,Republic of Korea

3. The Catholic University of Korea,Dept. Biomedical Software Engineering,Bucheon,South Korea

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480442/10480443/10480467.pdf?arnumber=10480467

Reference20 articles.

1. Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals

2. Single-trial analysis of readiness potentials for lower limb exoskeleton control

3. Improvements in Classification of Left and Right Foot Motor Intention Using Modulated Steady-State Somatosensory Evoked Potential Induced by Electrical Stimulation and Motor Imagery

4. Decoding Finger Tapping With the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution

5. A Three-Dimensional Finger-Tapping Framework for Recognition of Patients With Mild Parkinson’s Disease

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