Transforming wireless signals into powerful tools.
Sponsor: Ingram School of Engineering (ISoE)
Student Team: Benjamin Hoyt, Rion Lieberman, Aiden Olivarez, Gabriella Taverna
Faculty Advisor: Dr. Marcelo Carvalho
Our project is a Wi-Fi sensing system designed to detect and identify movement using both current and past Wi-Fi protocols, allowing any space where Wi-Fi is deployed to be continuously monitored using non-Line-of-Sight methods. We will utilize channel state information (CSI) and machine learning algorithms to create a system that is learning and improving to enhance accuracy. Our system will require no additional installation, as Wi-Fi is already deployed in most modern environments. This can be used to detect both small and large-scale movements, such as home health monitoring, presence detection, and smart home device interfacing.
E1.14 Poster Pitch
To view a PDF file of our poster, click the link below!
Team Contact Information
Team Project Manager: Benjamin Hoyt, dkk57@txstate.edu
Faculty Advisor: Dr. Marcelo Carvalho, jmy53@txstate.edu
Let us know what you think! You can evaluate our project here: E1.14 Evaluation Form