How Neural Networks Can See What We're Doing Through Walls

Humans can spot patterns of activity, but we can't see through walls. Advanced neural networks that use radio wave imaging to see have the exact opposite problem. Now, a new technique developed by researchers at Massachusetts Institute of Technology is helping the neural networks see the world a little more clearly. The new method uses radio waves to train a neural network to spot patterns of activity that can't be viewed in visible light, according to a paper, titled "Making the Invisible Visible: Action Recognition Through Walls and Occlusions," recently posted to the preprint server arXiv. The researchers say the tech is especially helpful in difficult conditions, such as when someone is obscured in darkness or fog or around a corner.