SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 744 papers

TitleStatusHype
BON: An extended public domain dataset for human activity recognition—0
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics—0
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning—0
Contact-Free Multi-Target Tracking Using Distributed Massive MIMO-OFDM Communication System: Prototype and Analysis—0
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System—0
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition—0
ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos—0
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework—0
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition—0
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer—0
Domain Generalization for Activity Recognition via Adaptive Feature Fusion—0
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition—0
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications—0
Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR—0
Federated Continual Learning through distillation in pervasive computing—0
Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain—0
CHARM: A Hierarchical Deep Learning Model for Classification of Complex Human Activities Using Motion Sensors—0
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity RecognitionCode0
WiFi-based Spatiotemporal Human Action Perception—0
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition—0
Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition—0
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs—0
Human Activity Recognition on Time Series Accelerometer Sensor Data using LSTM Recurrent Neural Networks—0
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V ProcessorsCode0
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition—0
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition—0
Classifying Human Activities using Machine Learning and Deep Learning Techniques—0
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes—0
SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems—0
Resource-Eficient Continual Learning for Sensor-Based Human Activity Recognition—0
A Close Look into Human Activity Recognition Models using Deep Learning—0
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptationCode0
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression—0
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition—0
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition—0
Seeker: Synergizing Mobile and Energy Harvesting Wearable Sensors for Human Activity Recognition—0
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing—0
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition—0
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition—0
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks—0
Defending Black-box Skeleton-based Human Activity ClassifiersCode0
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity RecognitionCode0
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data—0
Assessing the State of Self-Supervised Human Activity Recognition using Wearables—0
MuMu: Cooperative Multitask Learning-based Guided Multimodal Fusion—0
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator—0
Integrated Human Activity Sensing and Communications—0
FLAME: Federated Learning Across Multi-device Environments—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