The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Video-based human action recognition is one of the most important and challenging areas
of research in the field of computer vision. Human action recognition has found many …

Human action recognition has been applied in many fields, such as video surveillance and
human computer interaction, where it helps to improve performance. Numerous reviews of …

With the advancement of computer vision, human action recognition (HAR) has shown its
broad research worth and application prospects in a wide range of fields such as intelligent …

Skeleton-based action recognition receives increasing attention because skeleton
sequences reduce training complexity by eliminating visual information irrelevant to actions …

Ergonomic risk assessment is vital for identifying work-related human postures that can be
detrimental to the health of a worker. Traditionally, ergonomic risks are reported by human …

Spatial-temporal relation reasoning is a significant yet challenging problem for video action
recognition. Previous works typically apply local operations like 2D or 3D CNNs to conduct …

In the advent of Industry 5.0, advances in human-centered smart manufacturing (HSM)
accentuate the role of humans in human–machine collaboration. This development has …

This paper presents an unsupervised transformer-based framework for temporal activity
segmentation which leverages not only frame-level cues but also segment-level cues. This …

While remarkable progress has been made on supervised skeleton-based action
recognition the challenge of zero-shot recognition remains relatively unexplored. In this …