USER MOTION ANALYSIS METHOD FOR DANCE TRAINING USING AI-BASED IMAGE RECOGNITION

摘要

The present invention relates to a user motion analysis method for dance training using artificial intelligence-based image recognition, and more specifically, as a user motion analysis method for dance training, which analyzes the dance motion of a user performing dance training in real time. , (1) receiving image data photographed by a camera of the user performing the dance training; (2) recognizing a user from the input image data and separating a background from a user region; (3) extracting a skeleton using joint information based on the user's body part recognition in the separated user area, and estimating a pose using the extracted skeleton; And (4) analyzing a user motion with respect to the estimated pose, and in step (3), a pose is estimated using a pose estimation model previously learned based on deep learning. . According to the user motion analysis method for dance training using image recognition based on artificial intelligence proposed in the present invention, a pose is estimated using a pre-learned pose estimation model based on deep learning using image data captured by a general camera. By analyzing user motion, it is possible to efficiently and accurately analyze the motion of the user who is performing dance training without a special camera such as Kinect.