The Massachusetts Institute of Technology has a CSAIL laboratory. Its employees demonstrated RF-Pose technology, which allows you to recognize the postures and movements of a person outside the wall. Engineers use Wi-Fi wave generators that bounce off the body. The system catches reflected signals, determining the approximate human shape. The picture is not clear enough, but this problem is solved with the help of artificial intelligence, learning to recognize the pose of people walking by, presented in the format of schematic skeletons with legs and arms. The program shows photographs of people and similar pictures in the radio range. The authors of the experiment experimented with hundreds of people in the room. The accuracy of the system was 83%. It is characteristic that in the presence of a barrier in the form of a wall, this indicator almost does not decrease. The prototype RF-Pose maximum range reached approximately 12 meters. The technology sees a two-dimensional picture, but in the future, engineers expect to teach it to work with three-dimensional models. According to the Institute, RF-Pose is designed to help people with Parkinson’s disease and multiple sclerosis. With its help it will become easier to control the dynamics of their condition. It is also useful in the care of the elderly – the system will be able to alert when problems such as a fall are detected.