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Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 744 papers

TitleStatusHype
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space—0
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition—0
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices—0
Human Activity Recognition Using Visual Object Detection—0
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition—0
Cross-user activity recognition using deep domain adaptation with temporal relation information—0
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors—0
A Hybrid Framework for Action Recognition in Low-Quality Video Sequences—0
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning—0
Enhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion—0
Integrated Human Activity Sensing and Communications—0
Assessing the State of Self-Supervised Human Activity Recognition using Wearables—0
Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion—0
Contrastive Predictive Coding for Human Activity Recognition—0
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study—0
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices—0
ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0—0
Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies—0
A Review of Machine Learning Methods Applied to Video Analysis Systems—0
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments—0
Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR—0
ConViViT -- A Deep Neural Network Combining Convolutions and Factorized Self-Attention for Human Activity Recognition—0
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition—0
A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection—0
Are Accelerometers for Activity Recognition a Dead-end?—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