SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 501–550 of 744 papers

TitleStatusHype
Incremental Activity Modeling and Recognition in Streaming Videos—0
Incremental Learning Techniques for Online Human Activity Recognition—0
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization—0
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition—0
Initial Findings on Sensor based Open Vocabulary Activity Recognition via Text Embedding Inversion—0
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition—0
In-sensor 24 classes HAR under 850 Bytes—0
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability—0
Integrating Features for Recognizing Human Activities through Optimized Parameters in Graph Convolutional Networks and Transformer Architectures—0
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling—0
Invariant Feature Learning for Sensor-based Human Activity Recognition—0
Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition—0
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems—0
Joint segmentation of multivariate time series with hidden process regression for human activity recognition—0
Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition—0
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes—0
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System—0
Language-centered Human Activity Recognition—0
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance—0
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research—0
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition—0
Latent Hierarchical Model for Activity Recognition—0
Latent hypernet: Exploring all Layers from Convolutional Neural Networks—0
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)—0
Learning Attribute Representation for Human Activity Recognition—0
Generating Fair Universal Representations using Adversarial Models—0
Learning-to-Learn Personalised Human Activity Recognition Models—0
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks—0
Lightweight Transformer in Federated Setting for Human Activity Recognition—0
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them—0
Long Term Object Detection and Tracking in Collaborative Learning Environments—0
Low-power Spike-based Wearable Analytics on RRAM Crossbars—0
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data—0
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think—0
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review—0
MAGNETO: Edge AI for Human Activity Recognition -- Privacy and Personalization—0
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes—0
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model—0
MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition—0
MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels—0
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection—0
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot—0
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles—0
A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation—0
Unleashing the Power of Shared Label Structures for Human Activity Recognition—0
Modelling the Influence of Cultural Information on Vision-Based Human Home Activity Recognition—0
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition—0
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition—0
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures—0
MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition—0
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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