Learning attention system and method by using face recognition supervisor technologies in ubiquitous based learning platform

摘要

A learning attention concentration system and method on the U-Learning learning platform using facial recognition supervisor technology is disclosed. During online learning or ubiquitous-based learning (UBL), the system records the learner's attendance and provides learning content, watches the front camera of the user terminal, and recognizes the learner's face and voice to ensure that the learner focuses on learning with the correct posture. Through recognition, the learner's learning pattern is recorded, the learning posture of the learner's face is displayed in 3D rendering including the outline and eyes/nose/ears/mouth, and a grade/score is recorded on the learning pattern, and pass/fail prediction and LRS server that visualizes and outputs statistical data from learning analysis charts; Learner terminals that are connected to the LRS server through a wired or wireless communication network, receive the learning content, are equipped with a camera and a facial recognition module, and recognize the outline of the learner's face and the characteristic points of the eyes 2 / nose / ears 2 face; and a supervisor terminal connected to the LRS server through a wired or wireless communication network.