Intelligent tumble detection method and system based on millimeter wave radar

The invention discloses an intelligent tumble detection method and system based on a millimeter-wave radar, and relates to the technical field of millimeter-wave radars, and the method comprises the steps: transmitting a linear frequency modulation wave signal to a target human body through the millimeter-wave radar, and receiving an electromagnetic wave signal reflected by the target human body; an artificial intelligence technology based on deep learning is adopted to carry out time-frequency characteristic analysis on a linear frequency modulation wave signal and an electromagnetic wave reflection signal, so that intelligent identification of a target human body posture is realized based on a characteristic difference between the two signals, and timely falling early warning prompt is provided. Thus, by using the non-sight and non-contact characteristics of the millimeter wave radar, the accuracy and reliability of fall detection can be improved while the privacy of the user is protected, and a safer and m