Intel Corporation
MACHINE LEARNING TECHNIQUES FOR LOCATION TRACKING

Abstract:

A device including one or more processors configured to obtain an motion dataset of the device; generate one or more parameters for a machine learning algorithm based on the motion dataset; generate a predicted device trajectory using the machine learning algorithm; determine an error value of the machine learning algorithm using a cost function, wherein the error value is based on a difference between the predicted device trajectory and a reference trajectory; adjust the cost function to minimize the error value; generate one or more optimized parameters based on the adjusted cost function; and adjust the machine learning algorithm based on the one or more optimized parameters.