SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 744 papers

TitleStatusHype
Self-supervised New Activity Detection in Sensor-based Smart Environments—0
Few-Shot Learning-Based Human Activity Recognition—0
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition—0
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors—0
A distillation-based approach integrating continual learning and federated learning for pervasive services—0
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables—0
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk—0
FLAME: Federated Learning Across Multi-device Environments—0
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments—0
FlowAR: une plateforme uniformisée pour la reconnaissance des activités humaines à partir de capteurs binaires—0
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs—0
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps—0
FMCW Radar Principles and Human Activity Recognition Systems: Foundations, Techniques, and Applications—0
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers—0
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes—0
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition—0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone—0
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning—0
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition—0
C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition—0
Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach—0
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models—0
Game Theory Solutions in Sensor-Based Human Activity Recognition: A Review—0
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback—0
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm—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