Video-based human action recognition is currently one of the most active research areas in
computer vision. Various research studies indicate that the performance of action …

This work focuses on the task of elderly activity recognition, which is a challenging task due
to the existence of individual actions and human-object interactions in elderly activities …

The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …

Human activity recognition has been actively studied in the last three decades. Compared to
human action performed by a single person, human interaction is more complex due to the …

Recently, skeleton-based human action recognition has attracted a lot of research attention
in the field of computer vision. Graph convolutional networks (GCNs), which model the …

In recent years, graph convolutional networks (GCNs) play an increasingly critical role in
skeleton-based human action recognition. However, most GCN-based methods still have …

Skeleton-based action recognition has attracted research attentions in recent years. One
common drawback in currently popular skeleton-based human action recognition methods …

We propose a framework for recognizing human actions from skeleton data by modeling the
underlying dynamic process that generates the motion pattern. We capture three major …

Under the background of Industry 4.0 and smart manufacturing, operators are still the core of
manufacturing production, and the standardization of their actions greatly affects production …

Mixed reality environments give better chances to provide constant help to the people in
need. Applied there artificial intelligence models will provide ad hoc monitoring measures …