General objective Develop a methodology that contributes to the management of variability in BCI through the implementation of simple algorithms with low computational cost. Justification The goal of managing the variability of brain bioelectrical signals involves creating adaptive BCIs. For this reason, a review of adaptability methods and the proposal of a methodology that helps in the investigation of this problem is important. The analysis and creation of methodologies will contribute to the development of more precise BCIs capable of being implemented in domestic environments, and not only in laboratories as is currently the case. Knowing and understanding the methods that are currently used in the management of variability allows us to face problem through the scientific method. This project will help promote “data science” research at UPS through feature extraction and machine learning techniques useful in BCI.
|Effective start/end date||28/02/18 → 28/02/18|
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