On the public citation graph
METIER
0 signed · 106 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_7openalex-snapshot
Facial Landmark Detection by Deep Multi-task Learning
inferredcites →https://doi.org/10.1007/978-3-540-24646-6_1openalex-snapshot
Activity Recognition from User-Annotated Acceleration Data
inferredcites →https://doi.org/10.1016/j.neucom.2015.07.085openalex-snapshot
Transition-Aware Human Activity Recognition Using Smartphones
inferredcites →https://doi.org/10.1016/j.patcog.2017.09.005openalex-snapshot
IDNet: Smartphone-based gait recognition with convolutional neural networks
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/10.1109/chase.2017.107openalex-snapshot
Gait-Based Continuous Authentication Using Multimodal Learning
inferredcites →https://doi.org/10.1109/cspa.2011.5759842openalex-snapshot
Using Hidden Markov Models for accelerometer-based biometric gait recognition
inferredcites →https://doi.org/10.1109/icbbe.2007.142openalex-snapshot
Identification of Individual Walking Patterns Using Gait Acceleration
inferredcites →https://doi.org/10.1109/icdm.2011.14openalex-snapshot
A New Multi-task Learning Method for Personalized Activity Recognition
inferredcites →https://doi.org/10.1109/iihmsp.2010.83openalex-snapshot
Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition
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/thms.2015.2489688openalex-snapshot
Toward Personalized Activity Recognition Systems With a Semipopulation Approach
inferredcites →https://doi.org/10.1109/tkde.2012.246openalex-snapshot
Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning
inferredcites →https://doi.org/10.1142/s0218001412600130openalex-snapshot
SPEED-INDEPENDENT GAIT IDENTIFICATION FOR MOBILE DEVICES
inferredcites →https://doi.org/10.1145/2493988.2494349openalex-snapshot
Personalized mobile physical activity recognition
inferredcites →https://doi.org/10.1145/2494091.2496039openalex-snapshot
User, device and orientation independent human activity recognition on mobile phones
inferredcites →https://doi.org/10.1145/2638728.2638777openalex-snapshot
Activity recognition exploiting classifier level fusion of acceleration and physiological signals
inferredcites →https://doi.org/10.1145/2971648.2971708openalex-snapshot
Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble
inferredcites →https://doi.org/10.1145/3123021.3123046openalex-snapshot
CNN-based sensor fusion techniques for multimodal human activity recognition
inferredcites →https://doi.org/10.1145/3267242.3267245openalex-snapshot
Wearable sensors for recognizing individuals undertaking daily activities
inferredcites →https://doi.org/10.1155/2014/706287openalex-snapshot
User-Independent Activity Recognition via Three-Stage GA-Based Feature Selection
inferredcites →https://doi.org/10.18653/v1/p17-1158openalex-snapshot
CANE: Context-Aware Network Embedding for Relation Modeling
inferredcites →https://doi.org/10.23919/eusipco.2017.8081308openalex-snapshot
User adaptation of convolutional neural network for human activity recognition
inferredcites →https://doi.org/10.24963/ijcai.2017/268openalex-snapshot
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training
inferredcites →https://doi.org/10.3390/app7101101openalex-snapshot
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
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/s17122735openalex-snapshot
IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion
inferredcites →https://doi.org/10.3758/bf03337021openalex-snapshot
Recognizing friends by their walk: Gait perception without familiarity cues
inferredcites →https://doi.org/10.5555/1853844.1853846openalex-snapshot
A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine
inferredcites →https://doi.org/10.9781/ijimai.2012.155openalex-snapshot
Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-46452-2_17openalex-snapshot
Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line
inferred← citeshttps://doi.org/10.1007/978-3-031-54528-3_11openalex-snapshot
STAPointGNN: Spatial-Temporal Attention Graph Neural Network for Gesture Recognition Using Millimeter-Wave Radar
inferred← citeshttps://doi.org/10.1007/978-3-031-77584-0_92openalex-snapshot
Deep-Learning-Based Identification of Individual Motion Characteristics from Upper-Limb Trajectories Towards Disorder Stage Evaluation
inferred← citeshttps://doi.org/10.1007/s10207-022-00640-4openalex-snapshot
User identification using deep learning and human activity mobile sensor data
inferred← citeshttps://doi.org/10.1007/s10489-020-02005-7openalex-snapshot
Deep learning based multimodal complex human activity recognition using wearable devices
inferred← citeshttps://doi.org/10.1007/s11042-023-17496-yopenalex-snapshot
AReNet: Cascade learning of multibranch convolutional neural networks for human activity recognition
inferred← citeshttps://doi.org/10.1007/s40860-025-00249-zopenalex-snapshot
Decision-tree-based distributed learning for IoT devices
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104393openalex-snapshot
Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107712openalex-snapshot
Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109290openalex-snapshot
Resource-constrained edge-based deep learning for real-time person-identification using foot-pad
inferred← citeshttps://doi.org/10.1016/j.imavis.2023.104784openalex-snapshot
Real-time gait biometrics for surveillance applications: A review
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.knosys.2025.114160openalex-snapshot
Distilled mid-fusion transformer networks for multi-modal human activity recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.07.002openalex-snapshot
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods
inferred← citeshttps://doi.org/10.1016/j.procs.2025.02.248openalex-snapshot
A Deep Multi-Task Learning Network for Activity Recognition and User Identification Using Smartphone Sensors
inferred← citeshttps://doi.org/10.1080/10447318.2022.2154904openalex-snapshot
Rethinking Activity Awareness: The Design, Evaluation and Implication of Integrating Activity Awareness into Mobile Messaging
inferred← citeshttps://doi.org/10.1109/bigcom53800.2021.00009openalex-snapshot
SignID: Acoustic-based Identification with Single Sign Gesture
inferred← citeshttps://doi.org/10.1109/chase52844.2021.00019openalex-snapshot
Sensor-Based Human Activity Recognition for Elderly In-patients with a Luong Self-Attention Network
inferred← citeshttps://doi.org/10.1109/chase69719.2026.00034openalex-snapshot
IMUVIE: Generalizable Pickup Measurement via Motion Movies
inferred← citeshttps://doi.org/10.1109/embc40787.2023.10341137openalex-snapshot
Multi-Task Learning U-Net for Functional Shoulder Sub-Task Segmentation
inferred← citeshttps://doi.org/10.1109/icasspw59220.2023.10192969openalex-snapshot
Human Activity Recognition From Motion and Acoustic Sensors Using Contrastive Learning
inferred← citeshttps://doi.org/10.1109/icc59461.2026.11586959openalex-snapshot
CLOVER: Collaborative Adversarial Distillation and Budget-Aware Co-Inference for Sensor–Cloud Intelligence
inferred← citeshttps://doi.org/10.1109/icme55011.2023.00110openalex-snapshot
Fast Personalized Human Activity Recognition on Heuristic Parameter Estimation
inferred← citeshttps://doi.org/10.1109/icspis56952.2022.10043933openalex-snapshot
Accuracy improvement in simple and complex Human Activity Recognition using a CNN-BiLSTM multi-task deep neural network
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650018openalex-snapshot
Contrastive Sensor Excitation for Generalizable Cross-Person Activity Recognition
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228173openalex-snapshot
LSTPointGMN: Lightweight Spatial-Temporal Graph Mamba Network for Gesture Recognition Using Millimeter-Wave Radar
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3298932openalex-snapshot
LHAR: Lightweight Human Activity Recognition on Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/jiot.2022.3176136openalex-snapshot
CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications
inferred← citeshttps://doi.org/10.1109/jiot.2024.3428554openalex-snapshot
RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2024.3355163openalex-snapshot
Motion Pattern Recognition for Indoor Pedestrian Altitude Estimation Based on Inertial Sensor
inferred← citeshttps://doi.org/10.1109/jsen.2026.3684572openalex-snapshot
MPA-PDR: Improved PDR Indoor Positioning Method Under Multiple Pedestrian Activities
inferred← citeshttps://doi.org/10.1109/jsen.2026.3694802openalex-snapshot
Enhancing Cross-User Generalization in Human Activity Recognition With Adaptive Noise Scheduling and Linear Attention
inferred← citeshttps://doi.org/10.1109/mlsp62443.2025.11204225openalex-snapshot
Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/percom53586.2022.9762387openalex-snapshot
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/percom56429.2023.10099218openalex-snapshot
CHAR: Composite Head-body Activities Recognition with A Single Earable Device
inferred← citeshttps://doi.org/10.1109/percomworkshops51409.2021.9430990openalex-snapshot
Image-based Activity Recognition from IMU Data
inferred← citeshttps://doi.org/10.1109/tce.2025.3571956openalex-snapshot
Fuzzified Federated Multi-Task Unlearning for Efficient and Privacy-Preserving Swarm Consumer Electronics Systems
inferred← citeshttps://doi.org/10.1109/tim.2023.3273673openalex-snapshot
A Multitask Deep Learning Approach for Sensor-Based Human Activity Recognition and Segmentation
inferred← citeshttps://doi.org/10.1109/tmc.2022.3171312openalex-snapshot
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2023.3279608openalex-snapshot
A Handwriting Recognition System With WiFi
inferred← citeshttps://doi.org/10.1109/tmc.2025.3548647openalex-snapshot
CHAR: Composite Head-Body Activities Recognition With a Single Earable Device
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3330879openalex-snapshot
SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning
inferred← citeshttps://doi.org/10.1109/tnse.2023.3246463openalex-snapshot
FedMPT: Federated Learning for Multiple Personalized Tasks Over Mobile Computing
inferred← citeshttps://doi.org/10.1145/3432235openalex-snapshot
Real-time Arm Gesture Recognition in Smart Home Scenarios via Millimeter Wave Sensing
inferred← citeshttps://doi.org/10.1145/3460421.3478813openalex-snapshot
Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance
inferred← citeshttps://doi.org/10.1145/3460421.3480426openalex-snapshot
VIDENS: Vision-based User Identification from Inertial Sensors
inferred← citeshttps://doi.org/10.1145/3472290openalex-snapshot
A Survey on Deep Learning for Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3511808.3557402openalex-snapshot
Multi-agent Transformer Networks for Multimodal Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3543507.3583212openalex-snapshot
Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users
inferred← citeshttps://doi.org/10.1145/3544793.3563404openalex-snapshot
Multi-task Learning for Stress Recognition
inferred← citeshttps://doi.org/10.1145/3580795openalex-snapshot
Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3627050.3631575openalex-snapshot
Beyond the Pocket: Preparing a Study on the Variations of Wearable Device Location
inferred← citeshttps://doi.org/10.1145/3631415openalex-snapshot
Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3631444openalex-snapshot
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3659597openalex-snapshot
CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
inferred← citeshttps://doi.org/10.1145/3699770openalex-snapshot
Temporal Action Localization for Inertial-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3717608openalex-snapshot
Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
inferred← citeshttps://doi.org/10.1145/3729467openalex-snapshot
Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
inferred← citeshttps://doi.org/10.1145/3770854.3783921openalex-snapshot
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
inferred← citeshttps://doi.org/10.1145/3788290openalex-snapshot
SkillNet: Human Actions Assessment via Human-AI Collaboration
inferred← citeshttps://doi.org/10.1155/2022/4204644openalex-snapshot
Human Health Activity Recognition Algorithm in Wireless Sensor Networks Based on Metric Learning
inferred← citeshttps://doi.org/10.3389/fcomp.2022.914330openalex-snapshot
Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance
inferred← citeshttps://doi.org/10.3390/app12189305openalex-snapshot
Context-Aware Complex Human Activity Recognition Using Hybrid Deep Learning Models
inferred← citeshttps://doi.org/10.3390/s22051840openalex-snapshot
Improving Wearable-Based Activity Recognition Using Image Representations
inferred← citeshttps://doi.org/10.48550/arxiv.2001.07416openalex-snapshot
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
inferred← citeshttps://doi.org/10.48550/arxiv.2012.03598openalex-snapshot
Self-supervised Deep Learning for Reading Activity Classification
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.