Wi-Fi sensing for human activity recognition.
Sponsor: Ingram School of Engineering (ISoE)
Student Team: Rion Lieberman, Aiden Olivarez, Gabriella Taverna, Ben Hoyt
Faculty Instructor: 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.
E2.14 Presentation
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E2.14 Poster Pitch
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Team Contact Information
Team Project Manager: Rion Lieberman, noo8@txstate.edu
Faculty Instructor: Dr. Marcelo Carvalho, jmy53@txstate.edu
Let us know what you think! You can evaluate our project here: E2.14 Evaluation Form