Data in Brief 2024
Annotated emotional image datasets of Chinese university students in real classrooms for deep learning
Corresponding author: Haoming Wang
Issue publication: 2024-12.
Research summary
This data article describes annotated emotional images of Chinese university students in real classroom settings for deep-learning research. It provides a reference point for studying classroom affect and evaluating image-based educational analytics using the dataset's documented collection and annotation procedures.
Study design.
Data article describing annotated classroom emotional images for deep learning.
Abstract
It is challenging for teachers to monitor each student's emotional state in real-time, making personalized learning difficult to achieve. Previous emotion recognition methods, such as support vector machines, are limited by technology and fail to meet practical application requirements. However, the development of deep learning technology offers new solutions for facial expression recognition, which makes emotional interaction and personalized support in education possible. Until now, there has been a lack of facial expression datasets in real classroom settings. To fill this gap, this study collected facial expression data in a real classroom, preprocessed it using OpenCV, and established the first real-world facial expression dataset. The emotion categories include surprise, happiness, neutrality, confusion, and boredom. The dataset was rigorously screened and contains a total of 5,527 images, divided into training, validation, and test sets. This dataset provides a reliable foundation for future research and applications in educational technology, particularly in the development of real-time emotion recognition models to enhance personalized learning and teaching effectiveness. The rigorous data collection and preprocessing approach ensures the dataset's quality and authenticity, addressing the limitations of existing datasets collected in laboratory settings.
Research context
What published datasets describe annotated emotional images from real university classrooms?
Use this resource when discussing classroom affect datasets, image annotation and the evaluation of educational emotion-recognition methods. Consult the original dataset record for its access and reuse terms.
classroom emotion · learning analytics · annotated dataset · affective computing
中文研究介绍
这篇数据论文介绍面向深度学习研究的中国大学生真实课堂情绪图像及其标注，为课堂情感研究和图像学习分析提供数据描述、采集与标注方法的参考入口。
Read and cite
Wang, C., Wang, H., Hu, Z., & Chen, X. (2024). Annotated emotional image datasets of Chinese university students in real classrooms for deep learning. Data in Brief, 57, 111147. https://doi.org/10.1016/j.dib.2024.111147