Fall detection method, device and electronic equipment

The invention provides a fall detection method, a fall detection device and electronic equipment. The method comprises the steps of obtaining point cloud features of a to-be-detected target in respective point cloud sets of a first preset number of continuous radar frames, and obtaining a first point cloud feature sequence in which the respective point cloud features of the first preset number of radar frames are recorded in sequence; inputting the first point cloud feature sequence into a preset recurrent neural network model to obtain a behavior category probability array of the first point cloud feature sequence; wherein the preset recurrent neural network model is obtained by training on the basis of point cloud feature sequence samples of a plurality of pre-labeled behavior categories, and the behavior category probability array comprises probability values of the behavior categories; and generating a tumble detection result according to the behavior category probability array of the first point cloud fe