A Fully Unsupervised Online Classification Algorithm for Event-Related Potential based Brain-Computer Interfaces

Key Points

• The aim is to improve unsupervised classification methods in ERP-based brain-computer interfaces (BCIs).
• Developed a fully unsupervised online classification algorithm
• Focused on event-related potential (ERP) data
• Evaluated the algorithm's performance in BCI settings
• Achieved enhanced classification accuracy in ERP signals
• Demonstrated potential for real-time applications in BCIs