An EMG-based Brain-Computer Interface for Communication-impaired Patients: A Case Study
Electromyography (EMG)–based brain-computer interface (BCI) systems primarily rely on electrical signals generated by muscle activity instead of the typically used brain activity measured via electroencephalography (EEG). Such EMG-BCIs are promising systems that enhance communication and control. This study introduces a simple EMG-BCI communication system developed as a football game for a communication-impaired participant. The football in the game can be moved to a left-side or a right-side goal, representing answers to two-state queries, i.e., yes-or-no-questions. By using restricted game controls, correctly following verbal instructions, and showing movement-related brain activity preceding muscle contractions, our participant can deliberately control the directions of the ball movements and, thus, successfully use our game for communication.
Top- Raggam, Philipp
- Eder, Manuel
- Popa, Alexia-Theodora
- Fugger, Peter
- Grosse-Wentrup, Moritz
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
9th Graz Brain-Computer Interface Conference 2024 |
Divisions |
Neuroinformatics |
Subjects |
Programmierung Allgemeines Kuenstliche Intelligenz Angewandte Informatik Informatik in Beziehung zu Mensch und Gesellschaft |
Event Location |
Graz |
Event Type |
Conference |
Event Dates |
9-12 Sep 2024 |
Series Name |
Proceedings of the 9th Graz Brain-Computer Interface Conference 2024 |
ISSN/ISBN |
ISSN: 2311-0422 || ISBN: 978-3-99161-014-4 |
Page Range |
pp. 145-149 |
Date |
9 September 2024 |
Export |