MIT researchers developed an artificial system intelligences (AI) which is able to see through walls.
The creators of AI, a group of scientists from MIT's Computer and Artificial Intelligence Laboratory (CSAIL from Desktop Science and Artificial Intelligence Laboratory), report that the RF-Pose project could be used for many functions in our daily lives.
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 type of X-ray vision may seem excessive, but the team, headed by Professor Dina Katabi, states that the nervous network is able to analyze radio signals bounced by people in their movement to create a digital image position and movement of the individual.
In order to prove the potential of AI, MIT presented the RF-Pose project to guess when a figure is ready to sit, stand and move its edges.
The majority of today's neural networks are trained with data manually fed into the computer. However, radio-based training 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 cameras, 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 expricein posture and movement without the help of a camera. But the surprise came when the researchers noticed that the new technology had the ability to see behind walls.
According to MIT, the invention may have many practical uses. AI for example could be used for discretion monitoring elderly, which will allow them to live independently, while at the same time there will be safety in the event of a fall or accident.
It can also be used in medicine to study and monitor 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 Vision and Pattern Recognition to be held in Salt Lake City, Utah.
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Slowly they use it only to take care of the elderly.
Only in a coop will we be able to have privacy and again it is not certain
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.