SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 744 papers

TitleStatusHype
In-sensor 24 classes HAR under 850 Bytes—0
FlowAR: une plateforme uniformisée pour la reconnaissance des activités humaines à partir de capteurs binaires—0
ESPARGOS: An Ultra Low-Cost, Realtime-Capable Multi-Antenna WiFi Channel Sounder—0
Low-power Spike-based Wearable Analytics on RRAM Crossbars—0
SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human ActivityCode0
CNN Autoencoders for Hierarchical Feature Extraction and Fusion in Multi-sensor Human Activity Recognition—0
Scaling laws in wearable human activity recognition—0
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study—0
Human Activity Recognition with a 6.5 GHz Reconfigurable Intelligent Surface for Wi-Fi 6E—0
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
Benchmarking Classical, Deep, and Generative Models for Human Activity Recognition—0
Initial Findings on Sensor based Open Vocabulary Activity Recognition via Text Embedding Inversion—0
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for HealthcareCode0
Collaborative Human Activity Recognition with Passive Inter-Body Electrostatic Field—0
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations—0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition—0
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity RecognitionCode0
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning—0
Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets—0
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs—0
AsyMov: Integrated Sensing and Communications with Asynchronous Moving Devices—0
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable DataCode1
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification—0
Adaptive Client Selection with Personalization for Communication Efficient Federated LearningCode0
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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