The team used a neural network to analyze how radio signals bounce off people’s bodies — even when they’re on the opposite side of a wall. During a recent research study, the neural network was able to successfully extrapolate these findings to sense a subject’s postures and movements.
The researchers are working with physicians to investigate possible healthcare applications for RF-Pose. One idea is to use the AI system to monitor patients with conditions like Parkinson’s or multiple sclerosis. The goal would be to help physicians understand disease progression, without requiring a patient to wear a sensor.
“We’ve seen that monitoring patients’ walking speed and ability to do basic activities on their own gives healthcare providers a window into their lives that they didn’t have before, which could be meaningful for a whole range of diseases,” Dina Katabi, PhD, team leader and professor in MIT’s Computer Science and Artificial Intelligence Laboratory, said in a June 12 statement.
The researchers said they plan to implement a consent mechanism for RF-Pose before deploying any “real-world” applications. These mechanisms would likely require a participant to perform a specific set of movements prior to the system monitoring the environment.
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