SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 744 papers

TitleStatusHype
A compact sequence encoding scheme for online human activity recognition in HRI applications—0
LaHAR: Latent Human Activity Recognition using LDACode0
Exploring Contrastive Learning in Human Activity Recognition for HealthcareCode1
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos—0
Self-supervised transfer learning of physiological representations from free-living wearable dataCode1
Human activity recognition using improved dynamic image—0
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition—0
Learning Generalizable Physiological Representations from Large-scale Wearable DataCode1
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous DataCode0
Semi-supervised Federated Learning for Activity Recognition—0
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition—0
Bubblenet: A Disperse Recurrent Structure To Recognize Activities—0
HHAR-net: Hierarchical Human Activity Recognition using Neural NetworksCode1
Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion—0
Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network—0
Attention-Driven Body Pose Encoding for Human Activity Recognition—0
Semi-supervised sequence classification through change point detection—0
Stacked Generalization for Human Activity Recognition—0
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model—0
Personalization in Human Activity Recognition—0
A benchmark of data stream classification for human activity recognition on connected objectsCode0
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks—0
Skeleton-based Action Recognition via Spatial and Temporal Transformer NetworksCode1
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare—0
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor DataCode1
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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