Device Free Localization

Tracking subject movement without the need for tag- or device-based infrastructure

Learn more about the projectLearn more about device-free localization

DFL in Action

Below is a demonstration of the heat map generated based off the tracking of a subject in a room utilizing radio-wave based device-free localization [the current video below is a non-copyrighted video that we have as a placeholder for formatting reasons]

Team Members

Problem Statement

Based on the current implementation of the program used to create a visual heat map of the subject tracking of the DFL system, there are two major issues to be resolved:

  1.  The timestamps used to the track the time that the data packet sent out are inaccurate as one timestamp is used to denote 720 different measurements.
  2. 720 measurements are required before a single heat map image can be constructed.

While the current implemented algorithm does a fine job constructing a visual heat map of the tracking, there are some glaring limitations of the design that can be improved.

Our goal for this project is to improved the timestamping of the packets of data so that they more accurately reflect the true timing of the data and to create an algorithm that can begin creating heat map visualizations on less data points.



This project was created as an entry for the Capstone Design Project course (ESE498) taught by the Electrical and Systems Engineering department of the McKelvey College of Engineering.

We would like to thank Dr. Jason Trobaugh for his guidance and Dr. Neal Patwari for giving mentorship and providing assistance with the material over the course of this project.