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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 1–50 of 419 papers

TitleStatusHype
Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature AlignmentCode1
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
3D Skeleton-Based Action Recognition: A Review—0
Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action RecognitionCode0
SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature AggregationCode1
Action Recognition in Real-World Ambient Assisted Living EnvironmentCode0
Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language RecognitionCode1
BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket SportsCode1
HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition—0
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology ModelingCode1
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
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature DecorrelationCode1
Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action RecognitionCode2
Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action RecognitionCode0
TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action RecognitionCode1
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action SegmentationCode1
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
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action RecognitionCode1
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
SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action RecognitionCode1
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
Multi-Modality Co-Learning for Efficient Skeleton-based Action RecognitionCode1
LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition—0
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational AutoencodersCode1
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action RecognitionCode1
Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed TransformerCode1
Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition NetworksCode0
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton SequencesCode1
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space—0
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual LearningCode0
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton TransformationCode0
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNNCode1
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