On the 10th, it was learned from Tianjin University that the network and cloud computing team of Tianjin University has recently made key progress in the field of wireless perception. They have turned the ordinary Wi Fi signals in the home into "perception managers" in the home environment. By analyzing changes in human activities through Wi Fi signals, they can judge people's needs and provide corresponding services for smart homes without the need for voice commands. The relevant research results have been published in the international journal IMWUT. According to the team, currently, most smart homes still rely on users issuing commands or specific sensors working, making it difficult to achieve seamless and continuous understanding of users' real-time changing states and needs. The research team has taken a different approach and developed a new high-precision sensing application that does not require users to wear any devices. By analyzing the subtle changes in Wi Fi signals caused by human activity, it can perceive a person's location, status, and behavior, and command smart homes to provide corresponding services. However, in order to bring high-precision perception applications from the laboratory into real homes, two major bottlenecks must be addressed: firstly, the system deployment is cumbersome, usually requiring professional personnel to repeatedly debug and calibrate the location of smart devices on-site; The second issue is the signal obstruction and reflection in complex home environments, leading to inaccurate perception. In response to the problem of "difficult deployment", the team innovatively turned their attention to the increasingly popular robotic vacuum cleaners in households, transforming them into "automatic collectors" of environmental information. In its daily cleaning and mapping process, the system can synchronously and automatically construct a physical space map and Wi Fi signal map of the home, and can automatically identify and record the location of devices such as routers and smart speakers with an accuracy of 0.1 meters. Users only need to have the robotic vacuum cleaner clean once to complete system initialization, completely eliminating the hassle of professional installation and manual measurement. In response to the issue of low accuracy, the team abandoned the idealized assumption of unobstructed signals in traditional models and, for the first time, developed a new theoretical model for real home environments with complex objects. This model can "understand" the propagation patterns of Wi Fi signals in complex environments, achieving stable and reliable high-precision perception in real homes. The research results were jointly guided by Associate Professor Tong Xinyu and Professor Li Keqiu from the School of Computer Science and Technology at Tianjin University, as well as Assistant Researcher Chen Sheng from the School of Network Security. Doctoral students Tan Renrui and Meng Xuanqi were the first authors, respectively. Tong Xinyu said that the research results not only cleared key obstacles for wireless sensing technology to reach millions of households, but also provided core technical support for building a more intelligent and caring living environment in the future. (New Society)