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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 126–150 of 419 papers

TitleStatusHype
BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation—0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition—0
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for HealthcareCode0
Improving Skeleton-based Action Recognition with Interactive Object InformationCode0
Evolving Skeletons: Motion Dynamics in Action Recognition—0
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition—0
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence CriterionCode0
Hierarchical Temporal Convolution Network:Towards Privacy-Centric Activity RecognitionCode0
MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition—0
Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action RecognitionCode0
Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action RecognitionCode0
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition—0
Idempotent Unsupervised Representation Learning for Skeleton-Based Action RecognitionCode0
Joint Mixing Data Augmentation for Skeleton-based Action RecognitionCode0
Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action RecognitionCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment—0
Joint Temporal Pooling for Improving Skeleton-based Action Recognition—0
Action Recognition for Privacy-Preserving Ambient Assisted LivingCode0
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics—0
Skeleton-Based Action Recognition with Spatial-Structural Graph ConvolutionCode0
Joint-Partition Group Attention for skeleton-based action recognitionCode0
LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition—0
Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition NetworksCode0
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