SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 744 papers

TitleStatusHype
Evolving Markov Chains: Unsupervised Mode Discovery and Recognition from Data Streams—0
Resolution-Adaptive Micro-Doppler Spectrogram for Human Activity RecognitionCode0
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity RecognitionCode1
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal TransportCode0
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems—0
Process-aware Human Activity Recognition—0
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task—0
Federated Split Learning for Human Activity Recognition with Differential Privacy—0
WiFlexFormer: Efficient WiFi-Based Person-Centric SensingCode0
Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative MeasuresCode0
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity RecognitionCode0
Approaches to human activity recognition via passive radarCode0
Mukhtasir-Khail-Net: An Ultra-Efficient Convolutional Neural Network for Sports Activity Recognition with Wearable Inertial SensorsCode0
Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges—0
SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity RecognitionCode2
X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing—0
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning—0
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition—0
FMCW Radar Principles and Human Activity Recognition Systems: Foundations, Techniques, and Applications—0
Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks—0
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning—0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition—0
WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring—0
WiDistill: Distilling Large-scale Wi-Fi Datasets with Trajectory MatchingCode0
TRIS-HAR: Transmissive Reconfigurable Intelligent Surfaces-assisted Cognitive Wireless Human Activity Recognition Using State Space Models—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