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Skeleton Based Action Recognition

Skeleton-based Action Recognition is a computer vision task that involves recognizing human actions from a sequence of 3D skeletal joint data captured from sensors such as Microsoft Kinect, Intel RealSense, and wearable devices. The goal of skeleton-based action recognition is to develop algorithms that can understand and classify human actions from skeleton data, which can be used in various applications such as human-computer interaction, sports analysis, and surveillance.

( Image credit: View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition )

Papers

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Showing 326–350 of 419 papers

TitleStatusHype
Wavelet-Decoupling Contrastive Enhancement Network for Fine-Grained Skeleton-Based Action Recognition—0
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)—0
Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks—0
Unsupervised representation learning with long-term dynamics for skeleton based action recognition—0
Skeleton-Based Online Action Prediction Using Scale Selection Network—0
Relational Network for Skeleton-Based Action Recognition—0
ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark—0
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition—0
Unsupervised Spatial-Temporal Feature Enrichment and Fidelity Preservation Network for Skeleton based Action Recognition—0
An Improved Graph Pooling Network for Skeleton-Based Action Recognition—0
SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised Skeleton Action Recognition—0
Skeletonnet: Mining deep part features for 3-d action recognition—0
A New Representation of Skeleton Sequences for 3D Action Recognition—0
SkeleTR: Towards Skeleton-based Action Recognition in the Wild—0
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild—0
Sparse Semi-Supervised Action Recognition with Active Learning—0
Action Capsules: Human Skeleton Action Recognition—0
Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition—0
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition—0
Action-Attending Graphic Neural Network—0
A New Adjacency Matrix Configuration in GCN-based Models for Skeleton-based Action Recognition—0
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data—0
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition—0
An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition—0
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