A survey of smart classroom: Concept, technologies and facial emotions recognition application
원문 초록
Technology has transformed traditional educational systems around the globe; integrating digital learning tools into classrooms offers students better opportunities to learn efficiently and allows the teacher to transfer knowledge more easily. In recent years, there have been many improvements in smart classrooms. For instance, the integration of facial emotion recognition systems (FER) has transformed the classroom into an emotionally aware area using the power of machine intelligence and IoT. This paper provides a consolidated survey of the state-of-the-art in the concept of smart classrooms and presents how the application of FER systems significantly takes this concept to the next level
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion Model
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
Reading Smiles: Proxy Bias in Foundation Models for Facial Emotion Recognition
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design
토론
이 논문과 연결된 포럼 글이 아직 없습니다.