A posture correction method based on depth information and skeleton information, comprising: (1) performing effective skeleton point screening based on a user ID and a skeleton space coordinate depth value; (2) smoothing skeleton information, and standardizing coordinates of skeleton points in a skeleton space coordinate system; (3) drawing skeleton vectors, and calculating a direction cosine value of each skeleton vector; (4) obtaining a training data set and a test data set; (5) using the data sets as the input of a Bayesian Regularization BP neural network, and recognizing 25 skeleton points and 24 skeleton segments via the Bayesian Regularization BP neural network; and (6) performing result analysis and processing. The method overcomes the defect that a color camera is liable to be affected by external light, can accurately track a human body in a visual field, and also improves the naturalness of man-machine interaction.
POSTURE CORRECTION METHOD BASED ON DEPTH INFORMATION AND SKELETON INFORMATION