MIT trains AI to track people's movements through walls

In 2013, an MIT team found a way to see through walls using WiFi radio signals and in 2015 they could see well enough to identify individuals. Now, led by Dina Katabi from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), they’ve hooked the latest version, called RF-Pose, to an artificial intelligence (AI) neural network as a way to teach the system to deduce a person’s postures and movements even when completely hidden…
Continue Reading MIT trains AI to track people’s movements through walls

Category: Science

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Artificial Intelligence

MIT

Radio Waves

Tracking

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