SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 744 papers

TitleStatusHype
Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural NetworksCode0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology—0
A Survey on Human-aware Robot Navigation—0
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification—0
Privacy-Preserving Eye-tracking Using Deep Learning—0
Long Term Object Detection and Tracking in Collaborative Learning Environments—0
Similarity Embedding Networks for Robust Human Activity Recognition—0
Meta-HAR: Federated Representation Learning for Human Activity RecognitionCode1
Quantization and Deployment of Deep Neural Networks on MicrocontrollersCode0
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity RecognitionCode0
Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme—0
Human Activity Recognition Models in Ontology Networks—0
Three-stream network for enriched Action Recognition—0
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis—0
Personalized Semi-Supervised Federated Learning for Human Activity Recognition—0
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition—0
Multi-GAT: A Graphical Attention-based Hierarchical Multimodal Representation Learning Approach for Human Activity Recognition—0
Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques—0
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
KU-HAR: An open dataset for heterogeneous human activity recognitionCode0
SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access PointsCode1
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using SmartphonesCode1
BASAR:Black-box Attack on Skeletal Action RecognitionCode1
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity RecognitionCode1
Show:102550
← PrevPage 20 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