SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–744 of 744 papers

TitleStatusHype
Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action DetectionCode0
An Interactive Greedy Approach to Group Sparsity in High DimensionsCode0
Personalized Activity Recognition with Deep Triplet EmbeddingsCode0
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-ArtCode0
Adaptive Client Selection with Personalization for Communication Efficient Federated LearningCode0
Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart InfrastructureCode0
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual LearningCode0
Human activity recognition from skeleton posesCode0
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity RecognitionCode0
Tutorial on Deep Learning for Human Activity RecognitionCode0
Human Activity Recognition in an Open WorldCode0
SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human ActivityCode0
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
WiDistill: Distilling Large-scale Wi-Fi Datasets with Trajectory MatchingCode0
MEx: Multi-modal Exercises Dataset for Human Activity RecognitionCode0
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity RecognitionCode0
A Survey of Human Activity Recognition Using WiFi CSICode0
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity RecognitionCode0
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity RecognitionCode0
PI-Net: A Deep Learning Approach to Extract Topological Persistence ImagesCode0
Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural NetworksCode0
Towards a geometric understanding of Spatio Temporal Graph Convolution NetworksCode0
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor DataCode0
A Probabilistic Logic Programming Event CalculusCode0
WSense: A Robust Feature Learning Module for Lightweight Human Activity RecognitionCode0
Approaches to human activity recognition via passive radarCode0
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud InferenceCode0
Human Activity Recognition using Multi-Head CNN followed by LSTMCode0
Mukhtasir-Khail-Net: An Ultra-Efficient Convolutional Neural Network for Sports Activity Recognition with Wearable Inertial SensorsCode0
Dynamic Vision Sensors for Human Activity RecognitionCode0
Robust Explainer Recommendation for Time Series ClassificationCode0
Semantically Encoding Activity Labels for Context-Aware Human Activity RecognitionCode0
TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity RecognitionCode0
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V ProcessorsCode0
Cross-modal Knowledge Distillation for Vision-to-Sensor Action RecognitionCode0
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity RecognitionCode0
Untrimmed Video Classification for Activity Detection: submission to ActivityNet ChallengeCode0
Human Activity Recognition with Convolutional Neural NetowrksCode0
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian MutationCode0
DiTMoS: Delving into Diverse Tiny-Model Selection on MicrocontrollersCode0
Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern RecognitionCode0
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
Understanding and Improving Deep Neural Network for Activity RecognitionCode0
Quantization and Deployment of Deep Neural Networks on MicrocontrollersCode0
Show:102550
← PrevPage 15 of 15Next →
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