Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X
These findings highlight the value of combining user training with MI-based BCIs and the need to optimize signal quality for reliable performance. The results support the feasibility of scalable, multiclass MI paradigms in low-cost, user-centered neurotechnology applications, while pointing to critical areas for future system enhancement.
Authors
- Julius Schöning (ORCID: https://orcid.org/0000-0003-4921-5179)
- Artur Gunia (ORCID: https://orcid.org/0000-0002-4186-5516)
- Paulina Tarara
- Iwona Przybył
Institutions
- Jagiellonian University (PL)
- Academy of Fine Arts in Katowice (PL)
- University of Occupational Safety Management in Katowice (PL)
- Hochschule Osnabrück (DE)
Publication Details
- Journal
- Frontiers in Neuroinformatics
- Published
- 2025-08-12
- DOI
- https://doi.org/10.3389/fninf.2025.1625279
- Citations
- 2
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.86