SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 744 papers

TitleStatusHype
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition—0
Continuous Human Activity Recognition using a MIMO Radar for Transitional Motion Analysis—0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey—0
Multi-Channel Time-Series Person and Soft-Biometric Identification—0
WSense: A Robust Feature Learning Module for Lightweight Human Activity RecognitionCode0
Channel Phase Processing in Wireless Networks for Human Activity Recognition—0
Sensing with OFDM Waveform at mmWave Band based on Micro-Doppler Analysis—0
Hard Regularization to Prevent Deep Online Clustering Collapse without Data AugmentationCode0
Provable Robustness for Streaming Models with a Sliding Window—0
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation—0
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles—0
Zone-based Federated Learning for Mobile Sensing Data—0
Robust Multimodal Fusion for Human Activity Recognition—0
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning—0
VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data—0
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge—0
cGAN-Based High Dimensional IMU Sensor Data Generation for Enhanced Human Activity Recognition in Therapeutic Activities—0
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation—0
Feature Relevance Analysis to Explain Concept Drift -- A Case Study in Human Activity Recognition—0
Dataset Bias in Human Activity Recognition—0
Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers—0
Unleashing the Power of Shared Label Structures for Human Activity Recognition—0
Human Activity Recognition from Wi-Fi CSI Data Using Principal Component-Based Wavelet CNN—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