SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

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Showing 651–675 of 744 papers

TitleStatusHype
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge TransferCode0
A benchmark of data stream classification for human activity recognition on connected objectsCode0
B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflowsCode0
Investigating Enhancements to Contrastive Predictive Coding for Human Activity RecognitionCode0
Unified Framework with Consistency across Modalities for Human Activity RecognitionCode0
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for HealthcareCode0
Object Level Visual Reasoning in VideosCode0
Kernel Cross-CorrelatorCode0
Kernel learning for visual perceptionCode0
Resolution-Adaptive Micro-Doppler Spectrogram for Human Activity RecognitionCode0
FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy InsightsCode0
KU-HAR: An open dataset for heterogeneous human activity recognitionCode0
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture SearchCode0
Label Leakage in Federated Inertial-based Human Activity RecognitionCode0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
LaHAR: Latent Human Activity Recognition using LDACode0
RHM: Robot House Multi-view Human Activity Recognition DatasetCode0
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred LearningCode0
Context-Aware Predictive Coding: A Representation Learning Framework for WiFi SensingCode0
Robotic Vision and Multi-View Synergy: Action and activity recognition in assisted living scenariosCode0
Large Transformers are Better EEG LearnersCode0
Adversarial Attacks on Deep Neural Networks for Time Series ClassificationCode0
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing DataCode0
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingCode0
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity RecognitionCode0
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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