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Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 744 papers

TitleStatusHype
Stacked Generalization for Human Activity Recognition—0
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model—0
Personalization in Human Activity Recognition—0
A benchmark of data stream classification for human activity recognition on connected objectsCode0
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks—0
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare—0
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks—0
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm—0
Towards Deep Clustering of Human Activities from Wearables—0
Creating a Large-scale Synthetic Dataset for Human Activity Recognition—0
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors—0
An Efficient Data Imputation Technique for Human Activity Recognition—0
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization—0
ARC-Net: Activity Recognition Through Capsules—0
Human Activity Recognition based on Dynamic Spatio-Temporal Relations—0
Background Knowledge Injection for Interpretable Sequence Classification—0
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors—0
Learning-to-Learn Personalised Human Activity Recognition Models—0
AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices—0
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices—0
Entropy Decision Fusion for Smartphone Sensor based Human Activity Recognition—0
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition—0
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization—0
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking—0
Utility-aware Privacy-preserving Data Releasing—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