This project aim is to classify the motor imagery signals extracted from the brain using an Electro Encephalogram

STUDY ON PROCESSING BRAIN SIGNALS USING EEG SENSOR BY MACHINE LEARNING

Repo with code to run experiments comparing different predictability sources in OB1-reader, a model of eye movement control during reading. This work is part of a PhD project conducted by Adrielli Lopes and supervised by Martijn Meeter and Joshua Snell (Vrije Universiteit Amsterdam).

MATLAB implementation for lie detection using EEG signals. It uses wavelet-based feature extraction, Variational Mode Decomposition (VMD), advanced feature selection, and ensemble classifiers to detect deception from multi-channel EEG data.

Home made EEG utilizing basic electronic components and an Arduino.

Exploring probabilistic modelling and parameter estimation using Approximate Bayesian Computation (ABC) on brain signal data.

Open source content from the Hi! PARIS Summer School 2022 👩‍🏫

MuseBandWebApp