SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 744 papers

TitleStatusHype
Scaling laws in wearable human activity recognition—0
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study—0
Human Activity Recognition with a 6.5 GHz Reconfigurable Intelligent Surface for Wi-Fi 6E—0
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
Benchmarking Classical, Deep, and Generative Models for Human Activity Recognition—0
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for HealthcareCode0
Initial Findings on Sensor based Open Vocabulary Activity Recognition via Text Embedding Inversion—0
Collaborative Human Activity Recognition with Passive Inter-Body Electrostatic Field—0
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations—0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition—0
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity RecognitionCode0
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning—0
Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets—0
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs—0
AsyMov: Integrated Sensing and Communications with Asynchronous Moving Devices—0
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification—0
Adaptive Client Selection with Personalization for Communication Efficient Federated LearningCode0
Evolving Markov Chains: Unsupervised Mode Discovery and Recognition from Data Streams—0
Resolution-Adaptive Micro-Doppler Spectrogram for Human Activity RecognitionCode0
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal TransportCode0
Process-aware Human Activity Recognition—0
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems—0
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task—0
Federated Split Learning for Human Activity Recognition with Differential Privacy—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