SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 626–650 of 744 papers

TitleStatusHype
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity RecognitionCode0
Personalizing human activity recognition models using incremental learning—0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone—0
Importance of user inputs while using incremental learning to personalize human activity recognition models—0
Disparity-Augmented Trajectories for Human Activity Recognition—0
Differential Recurrent Neural Network and its Application for Human Activity Recognition—0
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach—0
Multivariate Time Series Classification using Dilated Convolutional Neural NetworkCode0
Human Activity Recognition Using Visual Object Detection—0
Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture—0
Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar—0
Subject Cross Validation in Human Activity RecognitionCode0
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks—0
Few-Shot Learning-Based Human Activity Recognition—0
Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors—0
Human Activity Recognition for Edge Devices—0
Adversarial Attacks on Deep Neural Networks for Time Series ClassificationCode0
Asymmetric Residual Neural Network for Accurate Human Activity Recognition—0
Online Human Activity Recognition Employing Hierarchical Hidden Markov Models—0
A Hybrid Framework for Action Recognition in Low-Quality Video Sequences—0
Human Pose Estimation using Motion Priors and Ensemble Models—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models—0
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data—0
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data—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