Action recognition is a very widely explored research area in computer vision and related
fields. We propose Kinematics Posture Feature (KPF) extraction from 3D joint positions …

Due to the availability of large-scale skeleton datasets, 3D human action recognition has
recently called the attention of computer vision community. Many works have focused on …

Skeleton‐based human action recognition has emerged recently thanks to its compactness
and robustness to appearance variations. Although impressive results have been obtained …

In this paper, we propose a novel two-level hierarchical framework for three-dimensional
(3D) skeleton-based action recognition, in order to tackle the challenges of high intra-class …

In recent years, there has been a proliferation of works on human action classification from
depth sequences. These works generally present methods and/or feature representations …

This paper addresses the action recognition problem using skeleton data. In this work, a
novel method is proposed, which employs five Distance Maps (DM), named as Spatio …

Action recognition is a hot topic in the field of computer vision. It has been widely used in
human–computer/robot interaction, abnormal behavior monitoring, and medical assistive …

Skeleton-based action recognition has attracted more and more attention due to its
advantage in avoiding environmental noise including light transformations and viewpoint …

Action recognition has been a heated topic in computer vision for its wide application in
vision systems. Previous approaches achieve improvement by fusing the modalities of the …

To provide accessible, intelligent, and efficient remote access such as the internet of things,
rehabilitation, autonomous driving, virtual games, and healthcare, human action recognition …