SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 576–600 of 744 papers

TitleStatusHype
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition—0
A distillation-based approach integrating continual learning and federated learning for pervasive services—0
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment—0
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition—0
Adversarial Transferability in Wearable Sensor Systems—0
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition—0
A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection—0
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments—0
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices—0
A Hybrid Framework for Action Recognition in Low-Quality Video Sequences—0
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices—0
A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition—0
Maximum Likelihood Speed Estimation of Moving Objects in Video Signals—0
"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition—0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation—0
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation—0
Analysis of Gait Pattern to Recognize the Human Activities—0
An Efficient Data Imputation Technique for Human Activity Recognition—0
An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing—0
A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition—0
A new network-based algorithm for human activity recognition in video—0
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos—0
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare—0
Show:102550
← PrevPage 24 of 30Next →
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