SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 744 papers

TitleStatusHype
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs—0
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition NetworkCode0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition—0
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments—0
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs—0
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques—0
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition—0
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic DatasetCode0
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity RecognitionCode0
Label Leakage in Federated Inertial-based Human Activity RecognitionCode0
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition—0
SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition—0
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection—0
SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems—0
Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs—0
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments—0
A Training Framework for Optimal and Stable Training of Polynomial Neural NetworksCode0
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained DevicesCode0
SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition—0
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches—0
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor DataCode0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition—0
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition—0
TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity RecognitionCode0
SignX: The Foundation Model for Sign Recognition—0
RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space ModelCode1
Semantically Encoding Activity Labels for Context-Aware Human Activity RecognitionCode0
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark DatasetCode2
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity RecognitionCode1
Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding—0
Redundant feature screening method for human activity recognition based on attention purification mechanism—0
CMD-HAR: Cross-Modal Disentanglement for Wearable Human Activity Recognition—0
PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition—0
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning—0
DGAR: A Unified Domain Generalization Framework for RF-Enabled Human Activity Recognition—0
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets—0
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability—0
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes—0
Exploring FMCW Radars and Feature Maps for Activity Recognition: A Benchmark Study—0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients—0
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes—0
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk—0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
Enhancing Smart Environments with Context-Aware Chatbots using Large Language Models—0
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingCode0
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers—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