심층학습 기반 표정인식을 통한 학습 평가 보조 방법 연구

• 영문명: Method of an Assistance for Evaluation of Learning using Expression Recognition based on Deep Learning
• 발행기관: 한국공학교육학회
• 저자명: 이호정(Lee, Ho-Jung) 이덕우(Lee, Deokwoo)
• 간행물 정보: 『공학교육연구』제23권 제2호, 24~30쪽, 전체 7쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2020.03.30

영문 초록

This paper proposes the approaches to the evaluation of learning using concepts of artificial intelligence. Among various techniques, deep learning algorithm is employed to achieve quantitative results of evaluation. In particular, this paper focuses on the process-based evaluation instead of the result-based one using face expression. The expression is simply acquired by digital camera that records face expression when students solve sample test problems. Face expressions are trained using convolutional neural network (CNN) model followed by classification of expression data into three categories, i.e., easy, neutral, difficult. To substantiate the proposed approach, the simulation results show promising results, and this work is expected to open opportunities for intelligent evaluation system in the future.

목차

I. 서 론

II. 심층 신경망 학습

III. 제안하는 방법

IV. 실험 결과

V. 결 론

키워드

Process-based evaluation Deep learning Convolutional neural network Evaluation Face expression