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

• Main Authors: LEE, EON JOO, SHIN, SEUNG YONG, PARK KINAM
• Format: Patent
• Language: English; Korean
• Published: 04.06.2024
• Subjects: ACOUSTICS; CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; MUSICAL INSTRUMENTS; PHYSICS; SPEECH ANALYSIS OR SYNTHESIS; SPEECH OR AUDIO CODING OR DECODING; SPEECH OR VOICE PROCESSING; SPEECH RECOGNITION; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

A learning attention concentration system and a method using facial recognition supervisor technology in a ubiquitous learning platform are disclosed. The system comprises: an LRS server configured to record attendance of a learner during online learning or UBL, provide a learning content, monitor a front camera of a user terminal, record a learning pattern of the learner through facial recognition and voice recognition of the learner to ensure the learner to focus on learning in a proper posture, display the learning posture of a face part of the learner in 3D rendering including outline, eyes, nose, ears, and mouth, record grades/scores of the learning pattern, visualize statistical data of passing/failing prediction and learning analysis chart, and output the visualized statistical data; learner terminals connected to the LRS server through a wired/wireless communication network, configured to receive the learning content, equipped with a camera and a facial recognition module, and configured to recognize an outline and feature points of eyes, a nose, and ears of the face of the learner; and a supervisor terminal connected to the LRS server through the wired/wireless communication network. 안면인식 감독관 기술을 활용한 유러닝 학습 플랫폼에서의 학습 주의 집중 시스템 및 방법이 개시된다. 상기 시스템은 온라인 학습 또는 유비쿼터스 기반 학습(UBL) 시에, 학습자의 출석을 기록하고 학습 콘텐츠를 제공하며, 사용자 단말의 정면 카메라를 주시하며 학습자가 바른 자세로 주의 집중학습되도록 학습자의 안면인식과 음성 인식을 통해 학습자의 학습 패턴을 기록하고, 학습자의 얼굴 부분의 학습 자세를 윤곽선과 눈/코/귀/입을 포함하여 3D 렌더링하여 표시하며, 학습 패턴에 등급/점수를 기록하며 통과/탈락 예측과 학습 분석 차트의 통계 데이터를 시각화하여 출력하는 LRS 서버; 상기 LRS 서버와 유무선 통신망을 통해 연결되고, 상기 학습 콘텐츠를 제공받고 카메라와 안면인식 모듈을 구비하며 학습자의 얼굴의 윤곽선과 눈2/코/귀2 얼굴의 특징점들을 인식하는 학습자 단말들; 및 상기 LRS 서버와 유무선 통신망을 통해 연결되는 감독관 단말을 포함한다.