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Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition

https://doi.org/10.1145/3550331
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-60639-8_40openalex-snapshot
Graph-Temporal LSTM Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1007/978-3-319-26561-2_6openalex-snapshot
Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors
inferredcites →https://doi.org/10.1007/978-3-540-24646-6_1openalex-snapshot
Activity Recognition from User-Annotated Acceleration Data
inferredcites →https://doi.org/10.1007/s00779-010-0293-9openalex-snapshot
Preprocessing techniques for context recognition from accelerometer data
inferredcites →https://doi.org/10.1016/j.eswa.2012.09.004openalex-snapshot
Elderly activities recognition and classification for applications in assisted living
inferredcites →https://doi.org/10.1109/cvpr.2016.115openalex-snapshot
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
inferredcites →https://doi.org/10.1109/cvpr.2017.143openalex-snapshot
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1109/cvpr.2019.01230openalex-snapshot
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013934openalex-snapshot
GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors
inferredcites →https://doi.org/10.1109/iccv.2017.233openalex-snapshot
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
inferredcites →https://doi.org/10.1109/iccv48922.2021.01311openalex-snapshot
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727224openalex-snapshot
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489540openalex-snapshot
Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition
inferredcites →https://doi.org/10.1109/infocom.2019.8737500openalex-snapshot
SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications
inferredcites →https://doi.org/10.1109/inss.2010.5573462openalex-snapshot
Collecting complex activity datasets in highly rich networked sensor environments
inferredcites →https://doi.org/10.1109/ipin.2016.7743581openalex-snapshot
Binarized-BLSTM-RNN based Human Activity Recognition
inferredcites →https://doi.org/10.1109/jsen.2021.3067690openalex-snapshot
Attention-Based Deep Learning Framework for Human Activity Recognition With User Adaptation
inferredcites →https://doi.org/10.1109/mmul.2012.24openalex-snapshot
Microsoft Kinect Sensor and Its Effect
inferredcites →https://doi.org/10.1109/mprv.2008.40openalex-snapshot
Wearable Activity Tracking in Car Manufacturing
inferredcites →https://doi.org/10.1109/percom.2016.7456521openalex-snapshot
On-body localization of wearable devices: An investigation of position-aware activity recognition
inferredcites →https://doi.org/10.1109/tmc.2022.3171312openalex-snapshot
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition
inferredcites →https://doi.org/10.1109/tnnls.2019.2935173openalex-snapshot
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/tpami.2010.86openalex-snapshot
Eye Movement Analysis for Activity Recognition Using Electrooculography
inferredcites →https://doi.org/10.1109/tpami.2019.2916873openalex-snapshot
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
inferredcites →https://doi.org/10.1145/2370216openalex-snapshot
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
inferredcites →https://doi.org/10.1145/2632048.2632054openalex-snapshot
StudentLife
inferredcites →https://doi.org/10.1145/2809695.2809718openalex-snapshot
Smart Devices are Different
inferredcites →https://doi.org/10.1145/3038912.3052577openalex-snapshot
DeepSense
inferredcites →https://doi.org/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.1145/3123024.3129271openalex-snapshot
Towards reading trackers in the wild
inferredcites →https://doi.org/10.1145/3267242.3267287openalex-snapshot
On attention models for human activity recognition
inferredcites →https://doi.org/10.1145/3328931openalex-snapshot
Unsupervised Factory Activity Recognition with Wearable Sensors Using Process Instruction Information
inferredcites →https://doi.org/10.1145/3380999openalex-snapshot
GIobalFusion
inferredcites →https://doi.org/10.1145/3394171.3413802openalex-snapshot
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition
inferredcites →https://doi.org/10.1145/3394171.3413941openalex-snapshot
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
inferredcites →https://doi.org/10.1145/3411841openalex-snapshot
IMUTube
inferredcites →https://doi.org/10.1145/3432208openalex-snapshot
PMC
inferredcites →https://doi.org/10.1145/3432228openalex-snapshot
BitLight
inferredcites →https://doi.org/10.1145/3437963.3441734openalex-snapshot
Learning to Drop: Robust Graph Neural Network via Topological Denoising
inferredcites →https://doi.org/10.1145/3448074openalex-snapshot
Unsupervised Human Activity Representation Learning with Multi-task Deep Clustering
inferredcites →https://doi.org/10.1145/3448083openalex-snapshot
Attend and Discriminate
inferredcites →https://doi.org/10.1145/3448112openalex-snapshot
SelfHAR
inferredcites →https://doi.org/10.1145/3449104openalex-snapshot
Understanding the Telework Experience of People with Disabilities
inferredcites →https://doi.org/10.1145/3449136openalex-snapshot
Detecting Expressive Writing in Online Health Communities by Modeling Aggregated Empirical Data
inferredcites →https://doi.org/10.1145/3463506openalex-snapshot
Contrastive Predictive Coding for Human Activity Recognition
inferredcites →https://doi.org/10.1145/3463508openalex-snapshot
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
inferredcites →https://doi.org/10.1145/3478096openalex-snapshot
Approaching the Real-World
inferredcites →https://doi.org/10.1609/aaai.v32i1.12078openalex-snapshot
Sensor-Based Activity Recognition via Learning From Distributions
inferredcites →https://doi.org/10.1609/aaai.v32i1.12328openalex-snapshot
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.24963/ijcai.2019/431openalex-snapshot
AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition
inferredcites →https://doi.org/10.2991/icaita-16.2016.13openalex-snapshot
LSTM Networks for Mobile Human Activity Recognition
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/ett.70430openalex-snapshot
Low Latency Basketball Action Recognition and Game Technology Analysis Based on Spiking Neural Network Under SAGIN Environment
inferred← citeshttps://doi.org/10.1007/s13042-025-02598-wopenalex-snapshot
Feature selection based L1alm-DT and MHT-LSTM for human activity recogition via sensor
inferred← citeshttps://doi.org/10.1016/j.aej.2025.04.019openalex-snapshot
An efficient gesture recognition for HCI based on semantics-guided GCNs and adaptive regularization graphs
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105554openalex-snapshot
Recognizing sitting activities of excavator operators using multi-sensor data fusion with machine learning and deep learning algorithms
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119679openalex-snapshot
Context-aware mutual learning for semi-supervised human activity recognition using wearable sensors
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103982openalex-snapshot
Deep convolutional state space model as human activity recognizer
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110143openalex-snapshot
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
inferred← citeshttps://doi.org/10.1016/j.scsadv.2025.100005openalex-snapshot
Federated optimal transport domain adaptation using Internet of Things sensor data for activity recognition
inferred← citeshttps://doi.org/10.1109/access.2024.3513477openalex-snapshot
SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models
inferred← citeshttps://doi.org/10.1109/comst.2024.3357591openalex-snapshot
A Systematic Review of Human Activity Recognition Based on Mobile Devices: Overview, Progress and Trends
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890337openalex-snapshot
A Conditional KAN Diffusion Network for Human Activity Recognition with Missing Sensor Signal Series
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461250openalex-snapshot
STDiffusion: A Spatiotemporal Interpolation-Oriented Diffusion Model for Signal Series Latent Representation Generation
inferred← citeshttps://doi.org/10.1109/jiot.2025.3555799openalex-snapshot
VirtualHAR: Virtual Sensing Device and Correlation-Based Learning Approach for Multiwearable Sensing Device-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2026.3702134openalex-snapshot
Toward Wearable Sensor-Based Human Activity Recognition: A Survey
inferred← citeshttps://doi.org/10.1109/jsen.2024.3373444openalex-snapshot
STFNet: Enhanced and Lightweight Spatiotemporal Fusion Network for Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2024.3443308openalex-snapshot
A Lightweight Deep Human Activity Recognition Algorithm Using Multiknowledge Distillation
inferred← citeshttps://doi.org/10.1109/jsen.2024.3509961openalex-snapshot
Eff-WHAR: A Lightweight Design for Efficient Wearable Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2025.3561418openalex-snapshot
Accurate and Efficient Human Activity Recognition Through Semi-Supervised Deep Learning
inferred← citeshttps://doi.org/10.1109/noms59830.2024.10575811openalex-snapshot
GAN-Enhanced Vertical Federated Learning System for WHAR with non-IID Data
inferred← citeshttps://doi.org/10.1109/swc62898.2024.00169openalex-snapshot
KCIN: A Kolmogorov-Arnold Convolutional Network-Based Model for Transportation Mode Recognition With Incomplete Sensor Series
inferred← citeshttps://doi.org/10.1109/tmc.2026.3652182openalex-snapshot
Spatio-Temporal Neural Rendering: Reversible Time-to-Vision Representation Learning for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2026.3682748openalex-snapshot
DMS: Throughput-Aware Distributed Multimodal Model Surgery on Embedded Devices
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3285547openalex-snapshot
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3583120.3586960openalex-snapshot
CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant Sensing
inferred← citeshttps://doi.org/10.1145/3610909openalex-snapshot
HMGAN
inferred← citeshttps://doi.org/10.1145/3631415openalex-snapshot
Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3643511openalex-snapshot
HyperHAR
inferred← citeshttps://doi.org/10.1145/3699736openalex-snapshot
GOAT: A Generalized Cross-Dataset Activity Recognition Framework with Natural Language Supervision
inferred← citeshttps://doi.org/10.1145/3699747openalex-snapshot
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
inferred← citeshttps://doi.org/10.1145/3699770openalex-snapshot
Temporal Action Localization for Inertial-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3749481openalex-snapshot
Certified Robustness against Sensor Heterogeneity in Acoustic Sensing
inferred← citeshttps://doi.org/10.1145/3749509openalex-snapshot
One Model to Fit Them All: Universal IMU-based Human Activity Recognition with LLM-assisted Cross-dataset Representation
inferred← citeshttps://doi.org/10.1145/3789688openalex-snapshot
Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HAR
inferred← citeshttps://doi.org/10.1145/3831643openalex-snapshot
Open-ended Human Activity Understanding via LLM-assisted Motion Decomposition and Semantic Fusion
inferred← citeshttps://doi.org/10.22266/ijies2023.1231.81openalex-snapshot
A Novel Framework for Future Human Activity Prediction Using Sensor-Based Data
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