Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …

Video scene analysis is a recent research topic due to its vital importance in many
applications such as real-time vehicle activity tracking, pedestrian detection, surveillance …

Traffic safety is a severe problem around the world. Many road accidents are normally
related with the driver's unsafe driving behavior, eg eating while driving. In this work, we …

Deep learning has allowed a paradigm shift in pattern recognition, from using hand-crafted
features together with statistical classifiers to using general-purpose learning procedures for …

As a common mental disorder, depression has attracted many researchers from affective
computing field to estimate the depression severity. However, existing approaches based on …

Automatic engagement recognition is a technique that is used to measure the engagement
level of people in a specific task. Although previous research has utilized expensive and …

In this paper, a novel action recognition method is proposed based on hierarchical dynamic
Bayesian network (HDBN). The algorithm is divided into system learning stage and action …

Social robots need to understand human activities, dynamics, and the intentions behind their
behaviors. Most of the time, this implies the modeling of the whole scene. The recognition of …

In this paper we are interested in recognizing human actions from sequences of 3D skeleton
data. For this purpose we combine a 3D Convolutional Neural Network with body …

The research of video-based sports movement analysis technology has an important
application value. The introduction of digital video, human–computer interaction and other …