NeurosciencebioRxivPreprint
Classification of Visual Imagery and Imagined Speech EEG based Brain Computer Interfaces using 1D Convolutional Neural Network
This paper uses a 1D-CNN to classify EEG signals from visual imagery and imagined speech tasks, achieving 89.3% and 77.87% accuracy for the respective tasks.