SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 744 papers

TitleStatusHype
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing DataCode0
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge TransferCode0
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual LearningCode0
Towards LLM-Powered Ambient Sensor Based Multi-Person Human Activity Recognition—0
Feature Fusion for Human Activity Recognition using Parameter-Optimized Multi-Stage Graph Convolutional Network and Transformer Models—0
Leveraging LDA Feature Extraction to Augment Human Activity Recognition AccuracyCode0
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes—0
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models—0
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data—0
EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing—0
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition—0
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research—0
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition—0
MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition—0
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs—0
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets—0
Wearable-based behaviour interpolation for semi-supervised human activity recognition—0
Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention—0
A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition—0
NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis—0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation—0
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)—0
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot—0
SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning—0
Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition—0
Show:102550
← PrevPage 9 of 30Next →
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