A human body posture visual recognition method for a transfer carrying nursing robot, and a storage medium and an electronic device. The method comprises: inputting a color image and a depth image of a human body posture to be recognized into a two-stage series neural network based on a part affinity field (PAF) and an improved deep residual network (ResNet), and outputting U-V-Z coordinates of a human body joint (810); and mapping the U-V-Z coordinates of the human body joint according to a depth camera parameter, calculating X-Y-Z coordinates of the human body joint, and outputting global coordinates of the human body joint (820).
HUMAN BODY POSTURE VISUAL RECOGNITION METHOD FOR TRANSFER CARRYING NURSING ROBOT, AND STORAGE MEDIUM AND ELECTRONIC DEVICE