This paper presents an approach for the problem of action recognition using information from a number of action descriptors calculated from a skeleton fitted ...

The experimental results show that the approach outperforms existing skeleton-based algorithms in terms of its classification accuracy and is more robust in the ...

A novel and simple action representation is proposed in this paper which models the action as a sequence of inconsecutive and discriminative skeleton poses, ...

Action recognition using a combination of spatio-temporal skeleton based features.New data-driven methods for extracting discriminative features in each ...

Oct 22, 2024 · The experimental results show that the approach outperforms existing skeleton-based algorithms in terms of its classification accuracy and is ...

In this work, we propose a human action recognition based on spatial graph kernels on 3D skeletal data. Spatial joint features are extracted using joint ...

There are a number of approaches to recognize whole body motions (or postures). Some researchers based their study on human posture recognition based on ...

We propose a set of features derived from skeleton tracking of the human body and depth maps for the purpose of action recognition.

Jan 27, 2024 · This research represents the first comprehensive discussion of deep learning-based action recognition using 3D skeleton data.

Informative joints based human action recognition using skeleton contexts ... Joint movement similarities for robust 3D action recognition using skeletal data.