A group of researchers has managed to develop a method to be able to detect human bodies in a roomthree-dimensionally and being able to follow their movements, using only the routers Wi-Fi.
According to new research, published in the preprint service arXiv, researchers from Carnegie Mellon University used “DensePose” as their main tool, a system that is capable of mapping all the pixels on the surface of a human body in a photo. , combining it with a neural network to “see” the coordinates of people in a certain space, from the interference that they generate in the Wi-Fi signal.
The process to know the location of people without seeing them
In his report, he details how so far work has been done to develop technology to be able to “see the people” without using cameras or expensive equipment, including LiDAR, which They can be around 600 or 700 dollars. This is where this new method comes in, which can be used with devices starting at $30.
For this experiment, TP-Link Archer A7 AC1750 routers were used, which were placed at each end of a room together with several people inside it, where thanks to a series of algorithms with AI it was possible to analyze the interference of the Wi-Fi signal, information that was interpreted with DensePose to obtain the human figures
The result was that in most cases it was possible to generate pretty precise structures of each of the people inside the room, which the researchers claimed were as good as “some image-based approaches“.
According to the researchers, one of the advantages of this method over cameras is that estimates of the structure of the human body They are “more respectful“with human privacy.
Also, no light required and the system is capable of detecting body poses even when there are additional objects in the way that could obscure the view if it were a traditional camera.
Despite the fact that the system is accurate in a large number of examples, shown by the researchers, this method still has some bugs to detect humans and its positioning, mainly to the poses “strange or unusual” that these can do, in addition to if there are too many subjects in the room, because ideally, this method allows to optimally recognize three people or less.
A new level of “privacy,” according to researchers
The researchers believe that analyzing Wi-Fi signals can serve as a substitute for normal RGB cameras to detect people in a room.
In addition, they classify this advance as an improvement in privacy rights “at a reasonable price”, since the technology can scale to monitor people’s well-beingor even identify “suspicious” behaviors within the home.