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Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 744 papers

TitleStatusHype
Poselet Key-Framing: A Model for Human Activity Recognition—0
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer—0
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation—0
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps—0
Privacy in Multimodal Federated Human Activity Recognition—0
Privacy-Preserving Eye-tracking Using Deep Learning—0
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution—0
Probing Fine-Grained Action Understanding and Cross-View Generalization of Foundation Models—0
Process-aware Human Activity Recognition—0
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning—0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning—0
Human Activity Recognition Using Visual Object Detection—0
Provably Secure Federated Learning against Malicious Clients—0
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning—0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
RAPID: Retrofitting IEEE 802.11ay Access Points for Indoor Human Detection and Sensing—0
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection—0
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices—0
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning—0
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics—0
Recognize Human Activities from Partially Observed Videos—0
Redundant feature screening method for human activity recognition based on attention purification mechanism—0
ReHAR: Robust and Efficient Human Activity Recognition—0
Reshaping Visual Datasets for Domain Adaptation—0
Resource-Eficient Continual Learning for Sensor-Based Human Activity Recognition—0
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices—0
Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative MeasuresCode0
RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical FlowCode0
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold ProcessorsCode0
A Comparison of Deep Learning and Established Methods for Calf Behaviour MonitoringCode0
Feature engineering workflow for activity recognition from synchronized inertial measurement unitsCode0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
Subject Cross Validation in Human Activity RecognitionCode0
Directional Antenna Systems for Long-Range Through-Wall Human Activity RecognitionCode0
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal TransportCode0
Multivariate Time Series Classification using Dilated Convolutional Neural NetworkCode0
Improving state estimation through projection post-processing for activity recognition with application to footballCode0
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity RecognitionCode0
An IoT Based Framework For Activity Recognition Using Deep Learning TechniqueCode0
ConvBoost: Boosting ConvNets for Sensor-based Activity RecognitionCode0
Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention NetworksCode0
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart HomesCode0
Context-Aware Predictive Coding: A Representation Learning Framework for WiFi SensingCode0
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition NetworkCode0
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable SensorsCode0
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained DevicesCode0
Reducing numerical precision preserves classification accuracy in Mondrian ForestsCode0
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity RecognitionCode0
Defending Black-box Skeleton-based Human Activity ClassifiersCode0
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensorsCode0
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All datasetsRHMOAD datasetPAMAP2HARHMDB51MM-FitRadar Dataset (DIAT-μRadHAR: Radar micro-Doppler Signature dataset for Human Suspicious Activity Recognition)UCF-101

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual-Stream C3DAccuracy (Top-1)71.06—Unverified
2C3DAccuracy (Top-1)70.3—Unverified
3Dual-Stream ConvNetAccuracy (Top-1)62.77—Unverified
4SlowFast (101)Accuracy (Top-1)45.28—Unverified
#ModelMetricClaimedVerifiedStatus
1ESTIE + VGG16 (transfer-learning)Accuracy95.22—Unverified
2STIE + VGG16 (transfer-learning)Accuracy94.77—Unverified
3STIE + VGG16(fine-tuning)Accuracy86.81—Unverified
#ModelMetricClaimedVerifiedStatus
1AFVFAccuracy0.97—Unverified
2Selective HAR ClusteringNMI0.88—Unverified
3Unsupervised embedding learning for human activity recognition using wearable sensor dataNMI0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1LMSSAccuracy1—Unverified
2AFVFAccuracy0.99—Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy61.18—Unverified
#ModelMetricClaimedVerifiedStatus
1unsupervised statistical feature guided diffusion modelF1 - macro0.44—Unverified
#ModelMetricClaimedVerifiedStatus
1DIAT-RadHARNet1:1 Accuracy99.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy89.5—Unverified