On the public citation graph

Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs

https://doi.org/10.1145/3377882
0 signed · 108 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

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/10.1007/978-3-030-20205-7_25openalex-snapshot
A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network
inferredcites →https://doi.org/10.1007/978-3-319-63558-3_40openalex-snapshot
Learning Deep and Shallow Features for Human Activity Recognition
inferredcites →https://doi.org/10.1007/s10916-018-0948-zopenalex-snapshot
Human Activity Recognition from Body Sensor Data using Deep Learning
inferredcites →https://doi.org/10.1007/s11042-015-2643-0openalex-snapshot
Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer
inferredcites →https://doi.org/10.1007/s12652-017-0606-1openalex-snapshot
Online human movement classification using wrist-worn wireless sensors
inferredcites →https://doi.org/10.1007/s13735-018-0150-6openalex-snapshot
Multimodal analysis of user behavior and browsed content under different image search intents
inferredcites →https://doi.org/10.1016/j.asoc.2015.01.025openalex-snapshot
On the use of ensemble of classifiers for accelerometer-based activity recognition
inferredcites →https://doi.org/10.1016/j.inffus.2011.08.001openalex-snapshot
Multisensor data fusion: A review of the state-of-the-art
inferredcites →https://doi.org/10.1016/j.inffus.2017.04.006openalex-snapshot
Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion
inferredcites →https://doi.org/10.1016/j.inffus.2017.06.004openalex-snapshot
Multi-view stacking for activity recognition with sound and accelerometer data
inferredcites →https://doi.org/10.1016/j.inffus.2018.06.002openalex-snapshot
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
inferredcites →https://doi.org/10.1016/j.isprsjprs.2018.01.023openalex-snapshot
Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
inferredcites →https://doi.org/10.1016/j.jpdc.2017.05.007openalex-snapshot
GCHAR: An efficient Group-based Context—aware human activity recognition on smartphone
inferredcites →https://doi.org/10.1016/j.physrep.2006.11.001openalex-snapshot
Recurrence plots for the analysis of complex systems
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.procs.2018.04.025openalex-snapshot
Classification of Recurrence Plots’ Distance Matrices with a Convolutional Neural Network for Activity Recognition
inferredcites →https://doi.org/10.1063/1.166372openalex-snapshot
Recurrence plots of experimental data: To embed or not to embed?
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/access.2016.2557846openalex-snapshot
Learning Human Identity From Motion Patterns
inferredcites →https://doi.org/10.1109/cbmi.2019.8877454openalex-snapshot
Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety
inferredcites →https://doi.org/10.1109/cvpr.2016.213openalex-snapshot
Convolutional Two-Stream Network Fusion for Video Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.494openalex-snapshot
Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
inferredcites →https://doi.org/10.1109/icmcs.2018.8525987openalex-snapshot
A New Framework Using PCA, LDA and KNN-SVM to Activity Recognition Based SmartPhone’s Sensors
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851898openalex-snapshot
Fusion of Multiple Representations Extracted from a Single Sensor’s Data for Activity Recognition Using CNNs
inferredcites →https://doi.org/10.1109/iros.2015.7353446openalex-snapshot
Multimodal deep learning for robust RGB-D object recognition
inferredcites →https://doi.org/10.1109/ism.2018.000-2openalex-snapshot
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data
inferredcites →https://doi.org/10.1109/jbhi.2016.2633287openalex-snapshot
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
inferredcites →https://doi.org/10.1109/jsyst.2015.2470644openalex-snapshot
Cloud-Supported Cyber–Physical Localization Framework for Patients Monitoring
inferredcites →https://doi.org/10.1109/tase.2018.2874487openalex-snapshot
A Sensor Fusion Approach to Indoor Human Localization Based on Environmental and Wearable Sensors
inferredcites →https://doi.org/10.1109/tbme.2012.2190602openalex-snapshot
Realtime Recognition of Complex Human Daily Activities Using Human Motion and Location Data
inferredcites →https://doi.org/10.1109/tbme.2014.2307069openalex-snapshot
Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer
inferredcites →https://doi.org/10.1109/tbme.2015.2471094openalex-snapshot
User-Independent Recognition of Sports Activities from a Single Wrist-worn Accelerometer: A Template Matching Based Approach
inferredcites →https://doi.org/10.1109/thms.2018.2884717openalex-snapshot
A Multisensor Multiclassifier Hierarchical Fusion Model Based on Entropy Weight for Human Activity Recognition Using Wearable Inertial Sensors
inferredcites →https://doi.org/10.1109/tnsre.2010.2053217openalex-snapshot
Multimodal Physical Activity Recognition by Fusing Temporal and Cepstral Information
inferredcites →https://doi.org/10.1145/1107548.1107591openalex-snapshot
Analyzing features for activity recognition
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1409635.1409639openalex-snapshot
Dealing with sensor displacement in motion-based onbody activity recognition systems
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
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/10.1162/neco.2006.18.7.1527openalex-snapshot
A Fast Learning Algorithm for Deep Belief Nets
inferredcites →https://doi.org/10.1186/s13634-019-0612-xopenalex-snapshot
A multisource fusion framework driven by user-defined knowledge for egocentric activity recognition
inferredcites →https://doi.org/10.3390/data3030024openalex-snapshot
HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors
inferredcites →https://doi.org/10.3390/s120608039openalex-snapshot
On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition
inferredcites →https://doi.org/10.3390/s150102059openalex-snapshot
A Survey of Online Activity Recognition Using Mobile Phones
inferredcites →https://doi.org/10.3390/s16040426openalex-snapshot
Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors
inferredcites →https://doi.org/10.3390/s17122735openalex-snapshot
IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion
inferredcites →https://doi.org/10.4108/icst.mobicase.2014.257786openalex-snapshot
Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors
inferredcites →https://doi.org/10.48550/arxiv.1601.02970openalex-snapshot
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.70115openalex-snapshot
A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-05654-3_6openalex-snapshot
Robots as Welfare Technologies to Reduce Falls Amongst Older Adults: An Explorative Study from Norway
inferred← citeshttps://doi.org/10.1007/978-3-031-09955-7_7openalex-snapshot
Human Activity Recognition: Approaches, Datasets, Applications, and Challenges
inferred← citeshttps://doi.org/10.1007/s00521-023-08916-zopenalex-snapshot
Superpixel-based adaptive salient region analysis for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1007/s11042-021-11105-6openalex-snapshot
Fusion of smartphone sensor data for classification of daily user activities
inferred← citeshttps://doi.org/10.1007/s11042-024-19582-1openalex-snapshot
Weighted voting ensemble of hybrid CNN-LSTM Models for vision-based human activity recognition
inferred← citeshttps://doi.org/10.1007/s12599-023-00844-5openalex-snapshot
A Survey on Association Rule Mining for Enterprise Architecture Model Discovery
inferred← citeshttps://doi.org/10.1007/s13534-022-00244-wopenalex-snapshot
Automatic sleep stages classification using multi-level fusion
inferred← citeshttps://doi.org/10.1007/s42486-024-00164-xopenalex-snapshot
Multi-modal fusion in ergonomic health: bridging visual and pressure for sitting posture detection
inferred← citeshttps://doi.org/10.1016/j.bspc.2021.103242openalex-snapshot
Deep learning based fall detection using smartwatches for healthcare applications
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108207openalex-snapshot
Human action recognition based on MnasNet optimized by improved version of Football Team training algorithm
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125947openalex-snapshot
Language of actions: A generative model for activity recognition and next move prediction from motion sensors
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132415openalex-snapshot
Deep learning for human activity recognition: A comprehensive review of architectures, performance, and challenges across five sensory datasets
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118580openalex-snapshot
Multi-sensor fusion with triple reliability evaluation for human activity recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135022openalex-snapshot
DARD: Dual attention network with residual-level regularization and dynamic hybrid loss for multimodal human activity recognition using wearable sensors
inferred← citeshttps://doi.org/10.1016/j.sna.2022.114150openalex-snapshot
Multimodal data-based deep learning model for sitting posture recognition toward office workers’ health promotion
inferred← citeshttps://doi.org/10.1038/s41598-024-57912-3openalex-snapshot
TCN-attention-HAR: human activity recognition based on attention mechanism time convolutional network
inferred← citeshttps://doi.org/10.1109/access.2021.3117667openalex-snapshot
Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3338137openalex-snapshot
Attention Mechanism-Based Bidirectional Long Short-Term Memory for Cycling Activity Recognition Using Smartphones
inferred← citeshttps://doi.org/10.1109/access.2024.3473828openalex-snapshot
Sensor-Based Human Activity Recognition Based on Multi-Stream Time-Varying Features With ECA-Net Dimensionality Reduction
inferred← citeshttps://doi.org/10.1109/access.2024.3508271openalex-snapshot
A Comprehensive Review on Deep Learning-Based Data Fusion
inferred← citeshttps://doi.org/10.1109/access.2025.3579926openalex-snapshot
Dynamic Fusion of LSTM Predictions Using Reinforcement Learning-Based GOWLA for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/cisp-bmei56279.2022.9980288openalex-snapshot
Dense Labeling of Human Activity Recognition Using a U-Net++ Network Based on Inertial Sensor Data
inferred← citeshttps://doi.org/10.1109/comst.2023.3334269openalex-snapshot
Machine Learning for Healthcare Radars: Recent Progresses in Human Vital Sign Measurement and Activity Recognition
inferred← citeshttps://doi.org/10.1109/iceic54506.2022.9748829openalex-snapshot
Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning
inferred← citeshttps://doi.org/10.1109/icsec53205.2021.9684657openalex-snapshot
Fusion of Signal-Based Multichannel CNN-LSTM Models for Human Activity Recognition using Wearable Sensors
inferred← citeshttps://doi.org/10.1109/infocomwkshps54753.2022.9798271openalex-snapshot
Demo Abstract: Technology-agnostic Approach to RF based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3175912openalex-snapshot
TARF: Technology-Agnostic RF Sensing for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2022.3209970openalex-snapshot
Internet of Things Centric-Based Multiactivity Recognition in Smart Home Environment
inferred← citeshttps://doi.org/10.1109/jiot.2024.3394050openalex-snapshot
Pedestrian Navigation Activity Recognition Based on Segmentation Transformer
inferred← citeshttps://doi.org/10.1109/jsen.2022.3149337openalex-snapshot
Real-Time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
inferred← citeshttps://doi.org/10.1109/jsen.2024.3364187openalex-snapshot
Large Receptive Field Attention: An Innovation in Decomposing Large-Kernel Convolution for Sensor-Based Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2025.3530007openalex-snapshot
Deep Networks and Sensor Fusion for Personal Care Robot Tasks—A Review
inferred← citeshttps://doi.org/10.1109/percom67906.2026.11524273openalex-snapshot
SenseLess: Minimal Vision, Maximum Insight for Smart Homes
inferred← citeshttps://doi.org/10.1109/tim.2022.3158427openalex-snapshot
Deformable Convolutional Networks for Multimodal Human Activity Recognition Using Wearable Sensors
inferred← citeshttps://doi.org/10.1109/tim.2023.3265128openalex-snapshot
An Efficient Diverse-Branch Convolution Scheme for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2022.3174816openalex-snapshot
Channel-Equalization-HAR: A Light-weight Convolutional Neural Network for Wearable Sensor Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2023.3297026openalex-snapshot
Designing and Training of Lightweight Neural Networks on Edge Devices Using Early Halting in Knowledge Distillation
inferred← citeshttps://doi.org/10.1111/exsy.13680openalex-snapshot
Human activity recognition: A comprehensive review
inferred← citeshttps://doi.org/10.1142/s0219843626400074openalex-snapshot
Action Recognition of Humanoid Robots Based on Image Processing and Multi-Sensor Data Fusion
inferred← citeshttps://doi.org/10.1145/3460418.3479391openalex-snapshot
Summary of the Third Nurse Care Activity Recognition Challenge - Can We Do from the Field Data?
inferred← citeshttps://doi.org/10.1145/3476778openalex-snapshot
Hypomimia Recognition in Parkinson’s Disease With Semantic Features
inferred← citeshttps://doi.org/10.1145/3561387openalex-snapshot
Sensor-based Human Activity Recognition Using Graph LSTM and Multi-task Classification Model
inferred← citeshttps://doi.org/10.1145/3565266openalex-snapshot
On Modality Bias Recognition and Reduction
inferred← citeshttps://doi.org/10.1145/3610876openalex-snapshot
Integrating Gaze and Mouse Via Joint Cross-Attention Fusion Net for Students' Activity Recognition in E-learning
inferred← citeshttps://doi.org/10.1145/3615834.3615848openalex-snapshot
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3657296openalex-snapshot
SigFormer: Sparse Signal-guided Transformer for Multi-modal Action Segmentation
inferred← citeshttps://doi.org/10.1177/14759217221116599openalex-snapshot
Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism
inferred← citeshttps://doi.org/10.1561/1000000056openalex-snapshot
Self-Powered Wearable IoT Devices for Health and Activity Monitoring
inferred← citeshttps://doi.org/10.22266/ijies2024.0430.21openalex-snapshot
A New Approach for Human Activity Recognition (HAR) Using A Single Tri-axial Accelerometer Based on a Combination of Three Feature Subsets
inferred← citeshttps://doi.org/10.3390/app14093637openalex-snapshot
Human Activity Recognition Based on Deep Learning Regardless of Sensor Orientation
inferred← citeshttps://doi.org/10.3390/rs14225863openalex-snapshot
Classification of Radar Targets with Micro-Motion Based on RCS Sequences Encoding and Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/s23239571openalex-snapshot
HARE: Unifying the Human Activity Recognition Engineering Workflow
inferred← citeshttps://doi.org/10.3390/s24134343openalex-snapshot
A Robust Deep Feature Extraction Method for Human Activity Recognition Using a Wavelet Based Spectral Visualisation Technique
inferred← citeshttps://doi.org/10.52783/jes.1918openalex-snapshot
Recognising pedestrian behaviour using a multi-channel spatiotemporal fusion network
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.