An AI Edge Computing-Based Intelligent Hand Painting Teaching System

This paper proposes an intelligent painting hand teaching system based on AI edge computing technology and uses gesture tracking and gesture recognition techniques. The overall operation process only needs to move the hand, and the correctness of the stroke trajectory can be clearly detected during the writing or drawing process. In addition, this system builds a complete data storage system in the teaching host. After the students operate on their personal devices, the files can be uploaded to the teaching host through this system, and the system records the uploaded data of each student in the database.