Magic Room: Device-free Sensing of People using Batteryless Tags and Machine Learning

WINLAB Summer Internship 2024
Group Members: Shriya Das, Xiang Meng, Sam-Fone Cheung, Aly Mustafa
Advisor: Aggelos Bletsas

Project Objective

Batteryless, ultra-low cost RFID (radio frequency identification tags) tags can serve as additional ultra-low cost antennas; variations of the multipath propagation inside a room offers impressive information for estimating the number of people and their tracks inside a room; WINLAB techniques, including machine learning, will be tested.

Weekly Progress

Week 1-4

For the first couple of weeks, our group worked solely on the Plant Doctor project, also led by our advisor Aggelos Bletsas.

Week 5

​Week 5 Presentation
Progress: During our first week of work, we put 150 RFID tags along two walls of the WINLAB conference room. Before putting them on, we recorded the ​distinct EPC (electronic product code) of each tag. We spaced the tags 16cm apart to minimize any interference from multiple tags based on their wavelength. We placed these tags between 4 and 5 feet off the ground

                                            

Week 6

​Week 6 Presentation
Progress: By the end of Week 6, we finished putting 219 RFID tags around the conference room. We arranged these tags in three rows which accounts for variations in people's height. We had to avoid large areas of the room such as the whiteboards due to metallic interference and