Educational Data Mining (EDM) is a research field that focuses on the application of data
mining, machine learning, and statistical methods to detect patterns in large collections of …

In this article, behaviour of students in the e-learning environment is analyzed. The novel
pipeline is proposed based on video facial processing. At first, face detection, tracking and …

Annotating a qualitative large-scale facial expression dataset is extremely difficult due to the
uncertainties caused by ambiguous facial expressions, low-quality facial images, and the …

Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …

WiFi sensing has been evolving rapidly in recent years. Empowered by propagation models
and deep learning methods, many challenging applications are realized such as WiFi-based …

Today, due to the widespread outbreak of the deadly coronavirus, popularly known as
COVID-19, the traditional classroom education has been shifted to computer-based …

Recently, online learning has been gradually accepted and approbated by the public. In this
context, an effective prediction of students' engagement can help teachers obtain timely …

This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW
2018 is a grand challenge in the ACM International Conference on Multimodal Interaction …

Automatic detection of students' engagement in online learning settings is a key element to
improve the quality of learning and to deliver personalized learning materials to them …

We propose a gesture recognition system that leverages existing WiFi infrastructures and
learns gestures from channel state information (CSI) measurements. Having developed an …