In this episode, we talk about how MIT has built a magic carpet to avoid privacy concerns with human body tracking, an initiative from Texas A&M to track nanoparticles in produce, and the novel approach from Carnegie Mellon to turn household items into sensors. As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.
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(1:30) - The Magic Carpet:
MIT researchers have created a carpet with thousands of sensors to monitor pressure changes from people’s movement. The data is then fed into a machine learning algorithm that can estimate someone’s 3D positioning with a 97% accuracy.
(8:40) - Detecting Nanoparticles in Food:
Nanoparticles have been used increasingly in the farming industry and people are becoming more concerned about how much makes its way into produce. Researchers at Texas A&M made a machine learning model to predict how much might be in the food you eat.
(14:30) - Fabric-Friendly Sensors:
Ever wanted the electronics in your home to do what you want without you actually having to do anything? Carnegie Mellon researchers have created a sensing system which can be seamlessly integrated into your couch, blanket, or any other fabric.
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About the podcast:
Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series.
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