SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 101125 of 744 papers

TitleStatusHype
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable SensorsCode0
A Training Framework for Optimal and Stable Training of Polynomial Neural NetworksCode0
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal TransportCode0
Hard Regularization to Prevent Deep Online Clustering Collapse without Data AugmentationCode0
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation LearningCode0
Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural NetworksCode0
Leveraging LDA Feature Extraction to Augment Human Activity Recognition AccuracyCode0
A Survey of Human Activity Recognition Using WiFi CSICode0
Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action DetectionCode0
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-ArtCode0
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity RecognitionCode0
Human Activity Recognition using Multi-Head CNN followed by LSTMCode0
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptationCode0
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity RecognitionCode0
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensorsCode0
Attention-Refined Unrolling for Sparse Sequential micro-Doppler ReconstructionCode0
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity RecognitionCode0
Enhanced Spatio- Temporal Image Encoding for Online Human Activity RecognitionCode0
AdaRNN: Adaptive Learning and Forecasting of Time SeriesCode0
Kernel Cross-CorrelatorCode0
B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflowsCode0
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold ProcessorsCode0
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity RecognitionCode0
LaHAR: Latent Human Activity Recognition using LDACode0
Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart InfrastructureCode0
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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