Germán Albeiro Castaño-Duque

Apr 5, 2023 | mdpi.com | Andrés Marino Álvarez-Meza |David Augusto Cárdenas-Peña |Germán Albeiro Castaño-Duque |Yeison Nolberto Cardona-Álvarez

1. IntroductionUsing a Brain–Computer Interface (BCI), devices can be controlled by stimulating brain electrical activity with a wide range of applications, including neuromarketing and neuroeconomics [1,2], games and entertainment [3,4], security [5], frameworks for operating medical protocols like cognitive state analysis, rehabilitation of individuals with motor disabilities [6], diagnosis of mental disorders and emotion-based analysis [7], among others.

Mar 2, 2023 | mdpi.com | Andrés Marino Álvarez-Meza |David Augusto Cárdenas-Peña |Diego Fabian Collazos-Huertas |Germán Albeiro Castaño-Duque

4. Results and Discussion 4.1. Classification Results of CAM-Based EEGnet MasksFigure 5 displays the classification accuracy results obtained by the EEGnet model (colored with a blue line) with parameters tuned as described above. In order to better understand the values, we rank them in decreasing order of mean accuracy to reveal that more than half of them fall below the 70% level (horizontal red line) and may need more MI skills.