SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

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Showing 301–350 of 744 papers

TitleStatusHype
Cross-user activity recognition via temporal relation optimal transport—0
Cross-user activity recognition using deep domain adaptation with temporal relation information—0
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices—0
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks—0
Cross-position Activity Recognition with Stratified Transfer Learning—0
Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies—0
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition—0
A Review of Machine Learning Methods Applied to Video Analysis Systems—0
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments—0
ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0—0
Cross-domain Activity Recognition via Substructural Optimal Transport—0
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition—0
Cross-Country Skiing Gears Classification using Deep Learning—0
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator—0
Creating a Large-scale Synthetic Dataset for Human Activity Recognition—0
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition—0
A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection—0
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition—0
ConViViT -- A Deep Neural Network Combining Convolutions and Factorized Self-Attention for Human Activity Recognition—0
Are Accelerometers for Activity Recognition a Dead-end?—0
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm—0
Contrastive Predictive Coding for Human Activity Recognition—0
ARC-Net: Activity Recognition Through Capsules—0
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition—0
Action Classification and Highlighting in Videos—0
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes—0
GeXSe (Generative Explanatory Sensor System): An Interpretable Deep Generative Model for Human Activity Recognition in Smart Spaces—0
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition—0
Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR—0
Out-of-Distribution Representation Learning for Time Series Classification—0
Continuous Human Activity Recognition using a MIMO Radar for Transitional Motion Analysis—0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition—0
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning—0
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis—0
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables—0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning—0
A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation—0
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning—0
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning—0
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets—0
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization—0
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback—0
Game Theory Solutions in Sensor-Based Human Activity Recognition: A Review—0
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?—0
Contextual Relationship-based Activity Segmentation on an Event Stream in the IoT Environment with Multi-user Activities—0
HAR-Net:Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition—0
A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data—0
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification—0
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models—0
Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach—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