SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 76100 of 744 papers

TitleStatusHype
HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional MambaCode0
AdaRNN: Adaptive Learning and Forecasting of Time SeriesCode0
Human activity recognition from skeleton posesCode0
Hard Regularization to Prevent Deep Online Clustering Collapse without Data AugmentationCode0
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial SensorsCode0
Adaptive Client Selection with Personalization for Communication Efficient Federated LearningCode0
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation LearningCode0
Out-of-Distribution Representation Learning for Time Series ClassificationCode0
Robust Explainer Recommendation for Time Series ClassificationCode0
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained DevicesCode0
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health MonitoringCode0
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable SensorsCode0
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing DataCode0
Feature engineering workflow for activity recognition from synchronized inertial measurement unitsCode0
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensorsCode0
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity RecognitionCode0
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor DataCode0
Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative MeasuresCode0
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal TransportCode0
Glimpse Clouds: Human Activity Recognition from Unstructured Feature PointsCode0
Human Activity Recognition in an Open WorldCode0
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity RecognitionCode0
A Survey of Human Activity Recognition Using WiFi CSICode0
Efficient Deep Clustering of Human Activities and How to Improve EvaluationCode0
Show:102550
← PrevPage 4 of 30Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual-Stream C3DAccuracy (Top-1)71.06Unverified
2C3DAccuracy (Top-1)70.3Unverified
3Dual-Stream ConvNetAccuracy (Top-1)62.77Unverified
4SlowFast (101)Accuracy (Top-1)45.28Unverified
#ModelMetricClaimedVerifiedStatus
1ESTIE + VGG16 (transfer-learning)Accuracy95.22Unverified
2STIE + VGG16 (transfer-learning)Accuracy94.77Unverified
3STIE + VGG16(fine-tuning)Accuracy86.81Unverified
#ModelMetricClaimedVerifiedStatus
1AFVFAccuracy0.97Unverified
2Selective HAR ClusteringNMI0.88Unverified
3Unsupervised embedding learning for human activity recognition using wearable sensor dataNMI0.87Unverified
#ModelMetricClaimedVerifiedStatus
1LMSSAccuracy1Unverified
2AFVFAccuracy0.99Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy61.18Unverified
#ModelMetricClaimedVerifiedStatus
1unsupervised statistical feature guided diffusion modelF1 - macro0.44Unverified
#ModelMetricClaimedVerifiedStatus
1DIAT-RadHARNet1:1 Accuracy99.22Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy89.5Unverified