Name of Sponsoring Organization: University of South Florida (EE)
Sponsor Point of Contact (name): Huseyin Arslan
Email Address:
Name of Technical Mentor (i.e. Subject Matter Expert):
TM Email Address:
Project Title: Indoor Human Detection and Tracking via Wi-Fi signals
Required EE Area(s) of Expertise: 1) Personal and Mobile Wireless Communications 2) Controls and Programming (GUI, SDR, Microprocessors, I/O for controlling RF hardware) ***Recommended EE Area(s) of Expertise: 1) Digital Communication Systems 2) Digital Signal Processing 3) Machine Learning
Brief Project Description: The possibility of using radio devices as non-invasive sensors has gained a lot of interest in the literature. With the pervasion of Wi-Fi in nearly all aspects of life, several works and start-ups have emerged utilizing Wi-Fi signals for detecting the environment. The efforts in this area are ongoing, with standardization efforts also taking place to make Wi-Fi more “sensing-friendly”. This project can be used as a steppingstone to develop more complex wireless sensing applications and novel/flexible PHY designs for joint sensing and communication. The pilot signals in the wireless communication systems are used to estimate the channel state information. In this project, the students are expected to detect and track human mobility in an indoor environment by utilizing channel state information (CSI) and/or received signal strength indicator (RSSI) and comparing the performance. This project aims to teach students how to sense the environment via radio signals and observe the relationship of the channel to environmental changes.
Major system products expected from this project: 1) Extensive literature research on general communication technologies, especially Wi-Fi 2) Design a single link wireless communication with a transmitter and receiver implementing Wi-Fi signals via software defined radios (SDR) for the project scenario, 3) Algorithm design to process received data to perform sensing functionality (human detection and tracking), machine learning tools can be utilized to process the data 4) Real time visualization (simple app design) for the design that is developed.
Parts of the project that “Engineering Design” is expected (e.g., mathematical calculations and/or verification simulations):
The level of support (Time: technical guidance, materials, computing, financial, etc.) for the project. If no financial support will be provided, please offer an estimate of the Materials Cost: 1) Technical guidance by Dr. Arslan and his PhD students (weekly for 1 hours minimum); 2) Access for necessary software; 3) In case the project is not selected as a finalist in competition or supplementary budget is needed, a budget of $500 towards project implementation for SDR and antennas. 4) Access for measurement facilities to evaluate sensors and validate coding on SDRs.