Universal Joint Feature Extraction for P300 EEG Classification using Multi-task Autoencoder

Apiwat Ditthapron, Nannapas Banluesombatkul, Sombat Ketrat +2

The process of recording Electroencephalography (EEG) signals is onerous and requires massive storage to store signals at an applicable frequency rate. In this work, we propose the…