지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.14 No.1
- 발행연도
- 2025.2
- 수록면
- 68 - 82 (15page)
- DOI
- 10.5573/IEIESPC.2025.14.1.68
이용수
초록· 키워드
오류제보하기
Traditional remote virtual teaching lacks emotional interaction like face-to-face teaching, affecting learning and teaching effectiveness in distance education. In view of this, the study innovatively introduces a self-cure neural network on the basis of convolutional network. Then, calibration strategies, regularization sorting, and noise labeling operations are used to optimize the network threshold, proposing a new facial expression recognition model. In addition, emotional space and emotional transfer pathways are constructed, and hidden Markov models, forward backward algorithms, and motivational factors are introduced to propose a motivational interaction model for emotional regression. The experimental results showed that the highest recognition accuracy of the expression recognition model was 95.8%. The recognition error was the lowest at 33% when the label noise ratio was 70%. The lowest misidentification rate was 34% when the obstruction proportion was 67%. The average emotional intensity of the incentive interaction model in multiple environments was 0.074. The average compensation time for multiple incentive factors was 13 minutes, which was 6 minutes shorter than that of a single incentive factor. The above results indicate that the proposed model can achieve accurate facial expression recognition, providing technical support for emotional interaction between teachers and students.
목차
Abstract
1. Introduction
2. Related Works
3. Construction of An Emotional Interaction Model for Facial Expression Recognition in Remote Virtual Teaching with Emotional Deficiency
4. Performance Testing of Emotional Interaction Models for Facial Expression Recognition
5. Conclusion
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A Review of Methods in Speech and Facial Expressions Recognition for Human-Computer Interaction
Proceedings of The International Workshop on Future Technology
2017 .07
-
Face Detection and Emotion Classification Using Single Deep Convolutional Network for Facial Emotion Recognition
제어로봇시스템학회 논문지
2019 .01
-
얼굴 특징 변화에 따른 휴먼 감성 인식
반도체디스플레이기술학회지
2017 .01
-
심층신경망 모델과 얼굴영상 정렬 네트워크를 활용한 얼굴 표정인식
대한전자공학회 학술대회
2021 .11
-
Fear and Surprise Facial Recognition Algorithm for Dangerous Situation Recognition
International journal of internet, broadcasting and communication : IJIBC
2015 .01
-
실제 환경의 표정 이미지를 사용한 딥러닝 기반의 감정 분류 기법
대한인간공학회 학술대회논문집
2022 .10
-
Cognitive and Emotional Structure of a Robotic Game Player in Turn-based Interaction
International journal of advanced smart convergence
2015 .01
-
A Slim Convolutional Neural Network for Low-cost Masked Facial Expression Classifier
제어로봇시스템학회 국제학술대회 논문집
2023 .10
-
Facial Expression Recognition Method Based on Residual Masking Reconstruction Network
JIPS(Journal of Information Processing Systems)
2023 .06
-
딥 네트워크 기반 얼굴 움직임의 관계 분석
대한전자공학회 학술대회
2017 .11
-
10종 표정 인식
한국정보과학회 학술발표논문집
2022 .12
-
정규화 기법을 통한 안면 인식 알고리즘 성능 향상에 관한 연구
한국CDE학회 논문집
2020 .06
-
A CYCLIC PATCHES APPROACH FOR FACIAL EXPRESSION RECOGNITION
한국정보과학회 학술발표논문집
2020 .07
-
감정 표현이 가능한 가상현실용 3D 얼굴 아바타의 제작 및 표정 다양화 방법 연구
제어로봇시스템학회 국내학술대회 논문집
2020 .07
-
Recommendations for Improving Incentive Systems in the Building Sector of South Korea
KIEAE Journal
2015 .04
-
불확실성을 고려한 Wild 데이터셋에서의 표정 인식
제어로봇시스템학회 국내학술대회 논문집
2023 .06
-
얼굴 표정 인식을 위한 방향성 LBP 특징과 분별 영역 학습
멀티미디어학회논문지
2017 .05
-
얼굴 특징점 추적을 통한 사용자 감성 인식
반도체디스플레이기술학회지
2019 .01
-
Facial Landmark Extractor for Facial Emotion Recognition
한국통신학회 학술대회논문집
2022 .06
-
주행성능 개인화를 위한 딥러닝 기반 운전자 상태 연구
한국자동차공학회 춘계학술대회
2022 .06
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-25-02-092293483