SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 744 papers

TitleStatusHype
Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention—0
An Efficient Data Imputation Technique for Human Activity Recognition—0
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches—0
Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets—0
Benchmarking Classical, Deep, and Generative Models for Human Activity Recognition—0
Analysis of Gait Pattern to Recognize the Human Activities—0
Balancing Continual Learning and Fine-tuning for Human Activity Recognition—0
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation—0
Background Knowledge Injection for Interpretable Sequence Classification—0
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition—0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation—0
A Wi-Fi Signal-Based Human Activity Recognition Using High-Dimensional Factor Models—0
DISC: a Dataset for Integrated Sensing and Communication in mmWave Systems—0
A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition—0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
A compact sequence encoding scheme for online human activity recognition in HRI applications—0
Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition—0
WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring—0
Different Approaches for Human Activity Recognition: A Survey—0
DIAT-RadHARNet: A lightweight DCNN for radar based classification of human suspicious activities—0
Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
DIAT-μ RadHAR (micro-doppler signature dataset) & μ RadNet (a lightweight DCNN)—For human suspicious activity recognition—0
DGAR: A Unified Domain Generalization Framework for RF-Enabled Human Activity Recognition—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