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Improvement of P300-Based Brain-Computer Interfaces for Home Appliances Control by Data Balancing Techniques

Taejun Lee1, Minju Kim1, Sung-Phil Kim1

  • 1Department of Human Factors Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea.

Sensors (Basel, Switzerland)
|October 2, 2020
PubMed
Summary

Data imbalance in P300-based brain-computer interfaces (BCIs) hinders performance. Sampling techniques, particularly borderline-SMOTE, significantly improved accuracy and information transfer rates by addressing this imbalance.

Keywords:
P300borderline-SMOTEbrain–computer interfaces (BCI)electroencephalography (EEG)sampling techniques

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