SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 744 papers

TitleStatusHype
Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers—0
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs—0
Human Activity Recognition Using Visual Object Detection—0
Zone-based Federated Learning for Mobile Sensing Data—0
Differential Recurrent Neural Network and its Application for Human Activity Recognition—0
Enhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion—0
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks—0
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space—0
A Close Look into Human Activity Recognition Models using Deep Learning—0
A compact sequence encoding scheme for online human activity recognition in HRI applications—0
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches—0
A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities—0
A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition—0
A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review—0
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition—0
Action Classification and Highlighting in Videos—0
ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0—0
Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion—0
Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning—0
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs—0
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices—0
A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring—0
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors—0
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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