SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 744 papers

TitleStatusHype
Human activity recognition from mobile inertial sensors using recurrence plots—0
Few-Shot Learning-Based Human Activity Recognition—0
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection—0
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors—0
Antenna Response Consistency Driven Self-supervised Learning for WIFI-based Human Activity Recognition—0
Classification of human activity recognition using smartphones—0
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk—0
FLAME: Federated Learning Across Multi-device Environments—0
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments—0
FlowAR: une plateforme uniformisée pour la reconnaissance des activités humaines à partir de capteurs binaires—0
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs—0
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps—0
FMCW Radar Principles and Human Activity Recognition Systems: Foundations, Techniques, and Applications—0
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers—0
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes—0
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition—0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone—0
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning—0
Self-supervised New Activity Detection in Sensor-based Smart Environments—0
C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition—0
Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach—0
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models—0
Game Theory Solutions in Sensor-Based Human Activity Recognition: A Review—0
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback—0
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning—0
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning—0
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition—0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition—0
Out-of-Distribution Representation Learning for Time Series Classification—0
A distillation-based approach integrating continual learning and federated learning for pervasive services—0
Human Activity Recognition for Mobile Robot—0
GeXSe (Generative Explanatory Sensor System): An Interpretable Deep Generative Model for Human Activity Recognition in Smart Spaces—0
Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR—0
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes—0
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables—0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning—0
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm—0
ARC-Net: Activity Recognition Through Capsules—0
Explainable Deep Learning Framework for Human Activity Recognition—0
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets—0
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network—0
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?—0
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator—0
HAR-Net:Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition—0
Evolving Markov Chains: Unsupervised Mode Discovery and Recognition from Data Streams—0
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification—0
Cheating off your neighbors: Improving activity recognition through corroboration—0
A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities—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