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 …

Skeleton-based human action recognition has recently drawn increasing attentions with the
availability of large-scale skeleton datasets. The most crucial factors for this task lie in two …

This paper presents a new method for 3D action recognition with skeleton sequences (ie, 3D
trajectories of human skeleton joints). The proposed method first transforms each skeleton …

Abstract 3D action recognition–analysis of human actions based on 3D skeleton data–
becomes popular recently due to its succinctness, robustness, and view-invariant …

Human action recognition is an important task in computer vision. Extracting discriminative
spatial and temporal features to model the spatial and temporal evolutions of different …

Skeleton-based human action recognition has recently attracted increasing attention thanks
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …

Abstract Long Short-Term Memory (LSTM) networks have shown superior performance in
3D human action recognition due to their power in modeling the dynamics and …

Skeleton-based human action recognition has attracted a lot of research attention during the
past few years. Recent works attempted to utilize recurrent neural networks to model the …

Skeleton-based human action recognition has recently attracted increasing attention due to
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …

Human action recognition in 3D skeleton sequences has attracted a lot of research attention.
Recently, long short-term memory (LSTM) networks have shown promising performance in …