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Human Activity Recognition

Classify various human activities

Papers

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Showing 551–575 of 744 papers

TitleStatusHype
Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition—0
Multi-Channel Time-Series Person and Soft-Biometric Identification—0
Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework—0
Multi-GAT: A Graphical Attention-based Hierarchical Multimodal Representation Learning Approach for Human Activity Recognition—0
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks—0
Multi-label Prediction in Time Series Data using Deep Neural Networks—0
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition—0
Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition—0
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification—0
Multiple Human Association between Top and Horizontal Views by Matching Subjects' Spatial Distributions—0
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series—0
Multi-Stage Based Feature Fusion of Multi-Modal Data for Human Activity Recognition—0
Multi-task Self-Supervised Learning for Human Activity Detection—0
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition—0
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition—0
MU-MAE: Multimodal Masked Autoencoders-Based One-Shot Learning—0
MuMu: Cooperative Multitask Learning-based Guided Multimodal Fusion—0
Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices—0
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition—0
NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis—0
Neural Style Transfer Enhanced Training Support For Human Activity Recognition—0
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition—0
New Convex Relaxations for MRF Inference With Unknown Graphs—0
Non-stationary BERT: Exploring Augmented IMU Data For Robust Human Activity Recognition—0
Object and Text-guided Semantics for CNN-based 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