A survey on 3d skeleton-based action recognition using learning method
Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …
attention within the computer vision community, owing to the inherent advantages offered by …
[HTML][HTML] Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …
an important role in regaining muscle strength and improving balance for people with …
Revisiting skeleton-based action recognition
Human skeleton, as a compact representation of human action, has received increasing
attention in recent years. Many skeleton-based action recognition methods adopt GCNs to …
attention in recent years. Many skeleton-based action recognition methods adopt GCNs to …
[HTML][HTML] Graph transformer network with temporal kernel attention for skeleton-based action recognition
Skeleton-based human action recognition has caused wide concern, as skeleton data can
robustly adapt to dynamic circumstances such as camera view changes and background …
robustly adapt to dynamic circumstances such as camera view changes and background …
Temporal decoupling graph convolutional network for skeleton-based gesture recognition
Skeleton-based gesture recognition methods have achieved high success using Graph
Convolutional Network (GCN), which commonly uses an adjacency matrix to model the …
Convolutional Network (GCN), which commonly uses an adjacency matrix to model the …
Skeleton-based human action recognition via large-kernel attention graph convolutional network
The skeleton-based human action recognition has broad application prospects in the field of
virtual reality, as skeleton data is more resistant to data noise such as background …
virtual reality, as skeleton data is more resistant to data noise such as background …
Dg-stgcn: Dynamic spatial-temporal modeling for skeleton-based action recognition
Graph convolution networks (GCN) have been widely used in skeleton-based action
recognition. We note that existing GCN-based approaches primarily rely on prescribed …
recognition. We note that existing GCN-based approaches primarily rely on prescribed …
Skeleton graph-neural-network-based human action recognition: A survey
M Feng, J Meunier - Sensors, 2022 - mdpi.com
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 …
human computer interaction, where it helps to improve performance. Numerous reviews of …
Msaf: Multimodal split attention fusion
Multimodal learning mimics the reasoning process of the human multi-sensory system,
which is used to perceive the surrounding world. While making a prediction, the human …
which is used to perceive the surrounding world. While making a prediction, the human …
Deep learning for human activity recognition on 3d human skeleton: survey and comparative study
Human activity recognition (HAR) is an important research problem in computer vision. This
problem is widely applied to building applications in human–machine interactions …
problem is widely applied to building applications in human–machine interactions …