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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.
Week 6
Week 6 Presentation
Progress:
Attachments (6)
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Week 5_1.jpg
(2.8 MB
) - added by 5 months ago.
RFID Tagging Week 5 Update #1
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Week 5_2.jpg
(3.4 MB
) - added by 5 months ago.
RFID Tagging Week 5 Update #2
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Week 6_1.jpg
(1.8 MB
) - added by 5 months ago.
RFID Tagging Week 6 Update #1
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Week 6_2.jpg
(1.6 MB
) - added by 5 months ago.
RFID Tagging Week 6 Update #2
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Robot-exp.jpg
(102.9 KB
) - added by 4 months ago.
Recieved Signal Robot Graph
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Magic Room WINLAB Poster.pptx.png
(1.9 MB
) - added by 4 months ago.
Magic Room Poster
