The invention provides a fall prediction and positioning method, and relates to the technical field of old people health, and the method comprises the steps: collecting a map of a room where a user is located, and carrying out the coordinate conversion of the map, and obtaining a map distance; acquiring a step length and an inertial navigation orientation when the user moves in a map range; establishing a behavior detection model, and obtaining an image orientation in the
video image when the user moves through the trained behavior detection model; collecting the floor where the user is located, the air pressure of each floor, the floor air pressure of the building and the
outdoor temperature when the user moves; establishing a neural
network model, wherein the output of the neural
network model is an acceleration calibration parameter k, an orientation calibration parameter j and a height calibration parameter h; according to k, j and h, identifying a
risk area where the user may fall on a map and predicting whether the user falls, if so, sending an alarm and a falling position to a guardian, and if not, continuing monitoring; the
system is suitable for long-term monitoring of indoor activities of old people, is suitable for indoor complex environments, and has an indoor positioning function.