Motor imagery multi-tasks classification for bcis using the nvidia jetson tx2 board and the eegnet network

HIGHLIGHTS

• who: Tat`y Mwata-Velu et al. from the Centro de Investigaciu00f3n en Computaciu00f3n, Instituto Politu00e9cnico Nacional (CIC-IPN), Alcaldu00eda Gustavo AMadero, Ciudad de Mexico CP., Mexico have published the paper: Motor Imagery Multi-Tasks Classification for BCIs Using the NVIDIA Jetson TX2 Board and the EEGNet Network, in the Journal: Sensors 2023, 23, 4164. of /2023/
• what: This work implements an embedded classifier based on using the EEGNet network integrated into the NVIDIA Jetson TX2 card. Table 4 summarizes the main characteristics of the NJT2 card used to implement the present project, according to . . .
  

   

  

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