Nowadays, the use of screens takes a key role in the lives of many people, especially among young children. Studies have shown differences in the brain activity of children exposed to many screen hours, among the children above the age of 6.
In this work we try to show correlation between brain activity and long screen exposure, among young children under the age of 6, using EEG signals.
We first preform a basic preprocessing for the EEG signals, then we use the Riemannian Metric and other advanced algorithms that rely on the covariance matrices as features such as Diffusion Maps and Parallel Transport.
Because of differences in the data and the labeling, we did not achieve the desired goal, but we developed a useful tool for handling EEG signals.
Prof. Tzipi Horowitz-Krauss, Faculty of Science and Technology Education, Technion