Gait Based Authentication System This project aims to authenticate people based on gait - the way of one’s walking,
we initially propose to collect data from android operated smartphone through
accelerometer in 3 axes and import the data to a statistical programming environment
and perform noise removal, modelling and matching operations there.
We aim to train a model and identify the subject upon evaluating the model
trained earlier and obtain the results.
Webapp : http://gbasbatch.azurewebsites.net