SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 744 papers

TitleStatusHype
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
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition—0
Video2IMU: Realistic IMU features and signals from videos—0
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects—0
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition—0
DIAT-μ RadHAR (micro-doppler signature dataset) & μ RadNet (a lightweight DCNN)—For human suspicious activity recognition—0
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs—0
DIAT-RadHARNet: A lightweight DCNN for radar based classification of human suspicious activities—0
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning—0
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data—0
Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition—0
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian MutationCode0
Human Activity Recognition on wrist-worn accelerometers using self-supervised neural networks—0
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals—0
Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart InfrastructureCode0
SSDL: Self-Supervised Dictionary Learning—0
Human Activity Recognition Using 3D Orthogonally-projected EfficientNet on Radar Time-Range-Doppler Signature—0
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart HomesCode0
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps—0
Classifying Human Activities with Inertial Sensors: A Machine Learning Approach—0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition—0
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances—0
Human Activity Recognition using Attribute-Based Neural Networks and Context Information—0
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition—0
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning—0
Tutorial on Deep Learning for Human Activity RecognitionCode0
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables—0
Cross-modal Knowledge Distillation for Vision-to-Sensor Action RecognitionCode0
Lightweight Transformer in Federated Setting for Human Activity Recognition—0
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification—0
SegTime: Precise Time Series Segmentation without Sliding Window—0
Incremental Learning Techniques for Online Human Activity Recognition—0
RAPID: Retrofitting IEEE 802.11ay Access Points for Indoor Human Detection and Sensing—0
A distillation-based approach integrating continual learning and federated learning for pervasive services—0
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition—0
Few Shot Activity Recognition Using Variational Inference—0
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity RecognitionCode0
AdaRNN: Adaptive Learning and Forecasting of Time SeriesCode0
A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition—0
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals—0
Neural Style Transfer Enhanced Training Support For Human Activity Recognition—0
A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation—0
Reducing numerical precision preserves classification accuracy in Mondrian ForestsCode0
Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers—0
Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural NetworksCode0
A Survey on Human-aware Robot Navigation—0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology—0
Privacy-Preserving Eye-tracking Using Deep Learning—0
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification—0
Long Term Object Detection and Tracking in Collaborative Learning Environments—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