MIT: Artificial Intelligence System monitors through walls

Researchers at MIT have developed an artificial intelligence system (AI) that can be seen through walls.

AI creators, a team of scientists from MIT's Computer and Artificial Intelligence Laboratory (CSAIL from Computer Science and Artificial Intelligence Laboratory), say the RF-Pose project could be used for many functions in our everyday lives. MIT

In a document substantiating the investigation (PDF), MIT reports that AI uses neural networking to teach wireless devices to sense people's posture and movement "even on the other side of a wall."

This kind of X-ray vision may seem like overkill, but the team, led by Professor Dina Katabi, report that the neural network is able to analyze the radio signals bounced off people as they move, to create a digital of the person's position and movement.

In order to prove the of AI, MIT presented the RF-Pose project to guess when a figure is ready to sit, stand and move its limbs.

The majority of current neural networks are trained with which are fed into the computer by hand. However, training based on radio waves was more than just a challenge.
To teach the AI ​​how to interpret these signals, the scientists collected thousands of samples from wireless devices and , which was located in spaces with people conducting daily activities. The images from the cameras were converted into digital motion and matched with the corresponding radio signals.

The RF-Pose project was then able to appreciate the attitude and movement without the help of a camera. The surprise came when the researchers noticed that the new technology had the ability to see behind the walls.

According to MIT, the invention may have many practical uses. For example, AI could be used for discreet monitoring of elderly people, allowing them to live independently while ensuring safety in the event of a fall or an accident.

It can also be used in medicine and monitoring the progression of diseases such as Parkinson's disease, multiple sclerosis and muscular dystrophy.

The project team is currently trying to transform 2D figures into three-dimensional representations and works with medical professionals to explore the applications of this technology in health care.

The research will be presented later this month at the Conference on Computer and Pattern Recognition to be held in Salt Lake City, Utah.

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Written by giorgos

George still wonders what he's doing here ...

2 Comments

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  1. I like that they made it to watch the elderly. In the end, only in a coop will we escape the monitoring and again not with so much confidence.

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