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Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 744 papers

TitleStatusHype
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review—0
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition—0
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models—0
Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Semi-supervised Cross-domain Neural Networks for Indoor Environment—0
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?—0
MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition—0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices—0
Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR—0
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition—0
Class-incremental Learning for Time Series: Benchmark and EvaluationCode2
MAGNETO: Edge AI for Human Activity Recognition -- Privacy and Personalization—0
Phase-driven Domain Generalizable Learning for Nonstationary Time Series—0
DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network—0
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture SearchCode0
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity RecognitionCode1
iMove: Exploring Bio-impedance Sensing for Fitness Activity Recognition—0
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data—0
Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activities—0
A Review of Deep Learning Methods for Photoplethysmography DataCode1
Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review—0
Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern RecognitionCode0
RSCNet: Dynamic CSI Compression for Cloud-based WiFi SensingCode1
Transfer Learning in Human Activity Recognition: A Survey—0
Federated Unlearning for 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