Motion-Tracking-in-Virtual-Reality

In this project, machine learning pipeline using Convolutional Neural Network is created to analyse the recorded sensor data provided by the datasets. The accuracy and F1 Scores are then used to evaluate the classifier's performance.

Platform used for training and testing

Jupyter Notebook

Datasets used

WISDM Public Dataset
UCI-HAR Public Dataset

Programming Language

python

Libraries used

Numpy
Pandas
Matplotlib
Seaborn
Sklearn (sci-kit learn)
Keras
Tensorflow