A posture detection method, apparatus and device based on gait features, and a storage medium, which relate to the technical field of artificial intelligence. The method comprises: acquiring gait data of a target object, and detecting, in the gait data, human body key points of the target object, so as to obtain a plurality of key point features (101); performing feature classification and positioning regression on the plurality of key point features by using a deep learning network, so as to obtain human body information (102); on the basis of the plurality of key point features, calculating a matching parameter between the human body information and preset standard human body information, wherein the preset standard human body information comprises a preset standard affinity vector (103); and determining a posture condition of the target object according to the matching parameter and a standard threshold value, wherein the standard threshold value is a critical value of an anomalous posture condition (104). Relevant data and information in the method can be stored in a blockchain node. By means of the method, the problems of high cost and low detection efficiency during object posture detection are solved.
POSTURE DETECTION METHOD, APPARATUS AND DEVICE BASED ON GAIT FEATURES, AND STORAGE MEDIUM