Model for evaluating intravenous injection practice using image data motion analysis

摘要

The present invention relates to a model for the evaluation of intravenous practice using motion analysis of image data. The imaging device captures the hands of the practitioner who is practicing on the arm model that embodies the blood vessels of the human body. The hand node extractor extracts the hand node coordinate data for each image frame by inputting the image captured by the imaging device into the hand node extraction deep learning model. The data processing unit processes the hand node coordinate data extracted by the hand node extraction unit into input data applicable to the motion analysis deep learning model. The evaluation unit derives an evaluation score by applying the input data processed by the data processing unit to the motion analysis deep learning model.