SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 744 papers

TitleStatusHype
Self-supervised New Activity Detection in Sensor-based Smart Environments—0
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey—0
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors—0
TRTAR: Transmissive RIS-assisted Through-the-wall Human Activity Recognition—0
Balancing Continual Learning and Fine-tuning for Human Activity Recognition—0
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition—0
Directional Antenna Systems for Long-Range Through-Wall Human Activity RecognitionCode0
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity RecognitionCode0
Device-Free Human State Estimation using UWB Multi-Static Radios—0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning—0
Online Semi-Supervised Learning of Composite Event Rules by Combining Structure and Mass-Based Predicate SimilarityCode1
Enhanced Spatio- Temporal Image Encoding for Online Human Activity RecognitionCode0
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
CSI-Based Cross-Domain Activity Recognition via Zero-Shot Prototypical Networks—0
Towards a geometric understanding of Spatio Temporal Graph Convolution NetworksCode0
A Review of Machine Learning Methods Applied to Video Analysis Systems—0
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series—0
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition—0
Student Activity Recognition in Classroom Environments using Transfer Learning—0
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space—0
Temporal Action Localization for Inertial-based Human Activity RecognitionCode1
Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR—0
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes—0
TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition—0
FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition—0
A Wi-Fi Signal-Based Human Activity Recognition Using High-Dimensional Factor Models—0
Game Theory Solutions in Sensor-Based Human Activity Recognition: A Review—0
Distributed Agent-Based Collaborative Learning in Cross-Individual Wearable Sensor-Based Human Activity Recognition—0
rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition—0
Optimization-Free Test-Time Adaptation for Cross-Person Activity RecognitionCode1
On the recognition of the game type based on physiological signals and eye tracking—0
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition—0
ConViViT -- A Deep Neural Network Combining Convolutions and Factorized Self-Attention for Human Activity Recognition—0
On the Benefit of Generative Foundation Models for Human Activity Recognition—0
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition—0
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport—0
Antenna Response Consistency Driven Self-supervised Learning for WIFI-based Human Activity Recognition—0
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models—0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning—0
Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition—0
Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition—0
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningCode1
Human Activity Segmentation Challenge @ ECML/PKDD’23Code1
Overview of Human Activity Recognition Using Sensor Data—0
Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion—0
Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
Robust Activity Recognition for Adaptive Worker-Robot Interaction using Transfer Learning—0
Large Transformers are Better EEG LearnersCode0
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed GradientCode1
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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