We present a review on the current state of publicly available datasets within the human
action recognition community; highlighting the revival of pose based methods and recent …

This paper proposes a new method for view-invariant action recognition that utilizes the
temporal position of skeletal joints obtained by Kinect sensor. In this method, the actions are …

Human action recognition has been one of the most active fields of research in computer
vision for last years. Two dimensional action recognition methods are facing serious …

A purpose behind the United Nation's Agenda 2030 is that no one shall be left behind, which
implies that support for vulnerable people shall be seen as clearly significant. In that context …

There has been an increased interest in recognition applications of human motion building
skeleton models on the recorded video images. Although various methods have been …

In action recognition, a body pose, or simply pose, is defined as a state of the 3D position of
skeleton joints which varies while an action is performed. Then an action can be defined as …

This paper describes a novel approach for supervised classification of motion capture data.
A Hierarchical Semantic Memory (HSM) transforms a skeleton wireframe input sequence …

The information society needs to process massive volumes of data in automated ways. The
data is more meaningful if it is considered as sequences of patterns rather than isolated …