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Magic Room: Device-free sensing of People using batteryless tags and machine learning
WINLAB Summer Internship 2024
Group Members: Xiang Meng & Aly Mustafa
Advisor: Aggelos Bletsas
Project Objective
Batteryless, ultra-low cost RFID tags can serve as additional ultra-low cost antennas; variations of the multipath propagation inside a room offers impressive information for estimating number of people and their tracks inside a room; WINLAB techniques, including machine learning, will be tested.
Weekly Progress
Week 1
Week 1 Presentation
Progress: Started learning the TI Launchpad microcontroller, read the documentation, and spoke to an expert.
Week 2
Week 2 Presentation
Progress: Learned how to use TI Launchpad MCU MSP-EXP430G2ET. Implemented an adjustable 200kHz-300kHz 50% duty cycle square wave output. Also implemented user input through digital input using the I/O pins. Attempted potentiometer user input, but did not successfully complete it.
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
