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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/dac.3010openalex-snapshot
Smartphone‐based activity recognition independent of device orientation and placement
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/s10489-020-02005-7openalex-snapshot
Deep learning based multimodal complex human activity recognition using wearable devices
inferredcites →https://doi.org/10.1007/s12652-020-02548-0openalex-snapshot
A unified generative model using generative adversarial network for activity recognition
inferredcites →https://doi.org/10.1016/j.cose.2022.102672openalex-snapshot
Improving SSH detection model using IPA time and WGAN-GP
inferredcites →https://doi.org/10.1016/j.imu.2021.100779openalex-snapshot
Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images
inferredcites →https://doi.org/10.1016/j.ins.2022.03.056openalex-snapshot
Salient feature extractor for adversarial defense on deep neural networks
inferredcites →https://doi.org/10.1016/j.neucom.2021.12.097openalex-snapshot
A wearable-HAR oriented sensory data generation method based on spatio-temporal reinforced conditional GANs
inferredcites →https://doi.org/10.1016/j.pmcj.2011.06.004openalex-snapshot
Centinela: A human activity recognition system based on acceleration and vital sign data
inferredcites →https://doi.org/10.1016/j.simpat.2009.09.002openalex-snapshot
Mobile health monitoring system based on activity recognition using accelerometer
inferredcites →https://doi.org/10.1038/s41598-019-52737-xopenalex-snapshot
Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks
inferredcites →https://doi.org/10.1049/bme2.12069openalex-snapshot
Profile to frontal face recognition in the wild using coupled conditional generative adversarial network
inferredcites →https://doi.org/10.1109/access.2022.3206952openalex-snapshot
Fully Connected Generative Adversarial Network for Human Activity Recognition
inferredcites →https://doi.org/10.1109/bigdata52589.2021.9671280openalex-snapshot
GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus
inferredcites →https://doi.org/10.1109/cset.2019.8904890openalex-snapshot
High Performance WGAN-GP based Multiple-category Network Anomaly Classification System
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01039openalex-snapshot
Ensembling Off-the-shelf Models for GAN Training
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01102openalex-snapshot
StyleSwin: Transformer-based GAN for High-resolution Image Generation
inferredcites →https://doi.org/10.1109/icassp.2018.8462624openalex-snapshot
Generative Adversarial Networks Based Data Augmentation for Noise Robust Speech Recognition
inferredcites →https://doi.org/10.1109/iccst50977.2020.00082openalex-snapshot
An intelligent music generation based on Variational Autoencoder
inferredcites →https://doi.org/10.1109/iccv.2017.245openalex-snapshot
GANs for Biological Image Synthesis
inferredcites →https://doi.org/10.1109/icdm.2017.106openalex-snapshot
Generating Synthetic Time Series to Augment Sparse Datasets
inferredcites →https://doi.org/10.1109/icip.2015.7350781openalex-snapshot
UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412812openalex-snapshot
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
inferredcites →https://doi.org/10.1109/ijcnn.2003openalex-snapshot
Proceedings of the International Joint Conference on Neural Networks, 2003.
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489106openalex-snapshot
SensoryGANs: An Effective Generative Adversarial Framework for Sensor-based Human Activity Recognition
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9206624openalex-snapshot
Synthetic Sensor Data for Human Activity Recognition
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9534001openalex-snapshot
TSA-GAN: A Robust Generative Adversarial Networks for Time Series Augmentation
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/isbi.2018.8363576openalex-snapshot
Synthetic data augmentation using GAN for improved liver lesion classification
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/jbhi.2021.3088866openalex-snapshot
Multi-Modal MRI Image Synthesis via GAN With Multi-Scale Gate Mergence
inferredcites →https://doi.org/10.1109/jiot.2021.3108822openalex-snapshot
CNN-Based Continuous Authentication on Smartphones With Conditional Wasserstein Generative Adversarial Network
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/percomw.2017.7917555openalex-snapshot
SenseGen: A deep learning architecture for synthetic sensor data generation
inferredcites →https://doi.org/10.1109/tbme.2016.2604856openalex-snapshot
Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion
inferredcites →https://doi.org/10.1109/tifs.2022.3175603openalex-snapshot
Multidiscriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems
inferredcites →https://doi.org/10.1109/tmc.2018.2793913openalex-snapshot
Bi-View Semi-Supervised Learning Based Semantic Human Activity Recognition Using Accelerometers
inferredcites →https://doi.org/10.1109/tmc.2018.2863292openalex-snapshot
Complex Activity Recognition Using Acceleration, Vital Sign, and Location Data
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/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/urtc54388.2021.9701617openalex-snapshot
Human Context Recognition: A Controllable GAN Approach
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/2638728.2638777openalex-snapshot
Activity recognition exploiting classifier level fusion of acceleration and physiological signals
inferredcites →https://doi.org/10.1145/2968219.2971461openalex-snapshot
Towards multimodal deep learning for activity recognition on mobile devices
inferredcites →https://doi.org/10.1145/2971648.2971708openalex-snapshot
Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble
inferredcites →https://doi.org/10.1145/2971648.2971721openalex-snapshot
Toward practical factory activity recognition
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3136755.3136817openalex-snapshot
Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks
inferredcites →https://doi.org/10.1145/3380985openalex-snapshot
A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition
inferredcites →https://doi.org/10.1145/3432199openalex-snapshot
GAN-based Style Transformation to Improve Gesture-recognition Accuracy
inferredcites →https://doi.org/10.1145/3550285openalex-snapshot
Augmented Adversarial Learning for Human Activity Recognition with Partial Sensor Sets
inferredcites →https://doi.org/10.1145/3550331openalex-snapshot
Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition
inferredcites →https://doi.org/10.1609/aaai.v32i1.11312openalex-snapshot
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
inferredcites →https://doi.org/10.1609/aaai.v36i7.20745openalex-snapshot
Top-Down Deep Clustering with Multi-Generator GANs
inferredcites →https://doi.org/10.1609/aaai.v37i5.25743openalex-snapshot
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition
inferredcites →https://doi.org/10.24963/ijcai.2018/122openalex-snapshot
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
inferredcites →https://doi.org/10.3390/info13060275openalex-snapshot
Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.3390/s20010098openalex-snapshot
Data Augmentation with Suboptimal Warping for Time-Series Classification
inferredcites →https://doi.org/10.3390/s20092653openalex-snapshot
An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare
inferredcites →https://doi.org/10.48550/arxiv.2006.10738openalex-snapshot
Differentiable Augmentation for Data-Efficient GAN Training
inferredcites →https://doi.org/10.48550/arxiv.2010.05646openalex-snapshot
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00521-025-11831-0openalex-snapshot
Conditional GANs for human activity recognition: synthetic keypoint data generation
inferred← citeshttps://doi.org/10.1007/s10044-026-01669-0openalex-snapshot
TFT-Diff: a transformer-enhanced frequency–time diffusion model for synthetic data augmentation in clinical behavior recognition
inferred← citeshttps://doi.org/10.1007/s10462-025-11275-xopenalex-snapshot
A systematic literature review on human activity recognition using smart devices: advances, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104592openalex-snapshot
Generative AI for wearable information fusion: Evidence mapping the reality gap in activity recognition and health monitoring
inferred← citeshttps://doi.org/10.1109/access.2025.3598088openalex-snapshot
A Review of Wearables-Based Activities of Daily Living Recognition With LLMs: Overview, Progress, and Trends
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461398openalex-snapshot
MRFHAR: Wavelet-Based Contrastive Learning for Human Activity Recognition by Fusing RFID and WiFi Signals
inferred← citeshttps://doi.org/10.1109/icorr66766.2025.11062978openalex-snapshot
Tifex-Py: Time-Series Feature Extraction for Python in a Human Activity Recognition Scenario
inferred← citeshttps://doi.org/10.1109/jiot.2023.3330372openalex-snapshot
Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field
inferred← citeshttps://doi.org/10.1109/jiot.2024.3493380openalex-snapshot
P2LHAP: Wearable-Sensor-Based Human Activity Recognition, Segmentation, and Forecast Through Patch-to-Label Seq2Seq Transformer
inferred← citeshttps://doi.org/10.1109/jsen.2024.3483108openalex-snapshot
Hydra-TS: Enhancing Human Activity Recognition With Multiobjective Synthetic Time-Series Data Generation
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/tcss.2025.3565414openalex-snapshot
Differentiable Prior-Driven Data Augmentation for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tim.2026.3657490openalex-snapshot
Characterization and Classification of Tactical Movements Using Wearable Motion Sensors and Deep Learning Models
inferred← citeshttps://doi.org/10.1109/tmc.2025.3569841openalex-snapshot
XHGA: Expanding the Capabilities of Cross-Modal Wrist-Worn Devices for Multi-Task Hand Gesture Applications
inferred← citeshttps://doi.org/10.1145/3625687.3625782openalex-snapshot
MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels
inferred← citeshttps://doi.org/10.1145/3662004.3663553openalex-snapshot
Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated Sources
inferred← citeshttps://doi.org/10.1145/3671127.3698176openalex-snapshot
i-Care: A Multi-Modal Data Integration Approach for Real-time Surveillance and Voice Assistance to Improve Infant Care
inferred← citeshttps://doi.org/10.1145/3699736openalex-snapshot
GOAT: A Generalized Cross-Dataset Activity Recognition Framework with Natural Language Supervision
inferred← citeshttps://doi.org/10.1145/3699770openalex-snapshot
Temporal Action Localization for Inertial-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3714394.3756189openalex-snapshot
Revisiting Multi-Agent GAN for Multimodal Time Series Generation in Human Sensing and mHealth Applications
inferred← citeshttps://doi.org/10.1145/3729485openalex-snapshot
OpenMAE: Efficient Masked Autoencoder for Vibration Sensing with Open-domain Data Enrichment
inferred← citeshttps://doi.org/10.1145/3746059.3747717openalex-snapshot
RingByte: Enhancing Text-Entry Practicality via A Singular Wearable Rotating Smart Ring
inferred← citeshttps://doi.org/10.3233/idt-230372openalex-snapshot
Sports action recognition algorithm based on multi-modal data recognition
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