# Grasp-and-lift-EEG-detection

This project compares various machine-learning models in terms of viability for EEG lift-and-grasp kaggle competition,  which took place in 2015.  This competition challenged its participants to identify, when a hand is grasping, lifting or replacing an object using EEG data taken from subjects performing those activities.

Full documentation is attached as pdf file.

Running code:
* RNN and logistic regression https://www.kaggle.com/vlastimilm/ui-project
* CNN https://www.kaggle.com/yeahman/main-grasp

Data download: https://www.kaggle.com/c/grasp-and-lift-eeg-detection/data