Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor

Some python scripts to get data about brain waves values from NeuroSky's Mindwave

In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person

A Brain-Computer Interface (BCI) project for processing and classifying EEG data

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

Neurosky Mindwave Mobile 2 based BCI

EEG headset connected to arduino

Brain Computer Interface controlled Training & Game

Created an Art GPT to generate an art piece based on the users changing levels in their alpha ratio, indicating stress level changes. The art will be more chaotic and dark if the user is stressed, and brighter with more whitespace if the user is in a relaxed, happy state.