On the public citation graph

Gesture recognition from RGB images using convolutional neural network‐attention based system

https://doi.org/10.1002/cpe.7230
0 signed · 42 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.

1 of the 26 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s10462-011-9303-1 (notice 2017-02-16).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/cpe.5991openalex-snapshot
Gesture recognition based on multi‐modal feature weight
inferredcites →https://doi.org/10.1002/cpe.6063openalex-snapshot
Occlusion gesture recognition based on improved SSD
inferredcites →https://doi.org/10.1007/978-3-319-16178-5_40openalex-snapshot
Sign Language Recognition Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1007/s00521-016-2294-8openalex-snapshot
Deep learning in vision-based static hand gesture recognition
inferredcites →https://doi.org/10.1007/s00521-019-04023-0openalex-snapshot
Research on gesture recognition of smart data fusion features in the IoT
inferredcites →https://doi.org/10.1007/s00521-019-04691-yopenalex-snapshot
Deep learning-based sign language recognition system for static signs
inferredcites →https://doi.org/10.1007/s10462-011-9303-1openalex-snapshot
RETRACTED ARTICLE: Static hand gesture recognition using neural networks
inferredcites →https://doi.org/10.1007/s11042-020-09829-yopenalex-snapshot
CNN based feature extraction and classification for sign language
inferredcites →https://doi.org/10.1016/j.asej.2016.10.013openalex-snapshot
Selfie video based continuous Indian sign language recognition system
inferredcites →https://doi.org/10.1016/j.asoc.2018.09.010openalex-snapshot
A convolutional neural network with feature fusion for real-time hand posture recognition
inferredcites →https://doi.org/10.1016/j.engappai.2009.03.008openalex-snapshot
Hand gesture recognition using a neural network shape fitting technique
inferredcites →https://doi.org/10.1016/j.patcog.2017.10.013openalex-snapshot
Recent advances in convolutional neural networks
inferredcites →https://doi.org/10.1109/crv.2014.20openalex-snapshot
Sign Language Fingerspelling Classification from Depth and Color Images Using a Deep Belief Network
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/fg.2015.7163132openalex-snapshot
Multi-sensor system for driver's hand-gesture recognition
inferredcites →https://doi.org/10.1109/iacc.2016.25openalex-snapshot
Analysis of k-Fold Cross-Validation over Hold-Out Validation on Colossal Datasets for Quality Classification
inferredcites →https://doi.org/10.1109/icat.2006.68openalex-snapshot
Hand Gesture Interaction for Virtual Training of SPG
inferredcites →https://doi.org/10.1109/iccsn.2017.8230247openalex-snapshot
Video-based Chinese sign language recognition using convolutional neural network
inferredcites →https://doi.org/10.1109/icsipa.2011.6144164openalex-snapshot
Max-pooling convolutional neural networks for vision-based hand gesture recognition
inferredcites →https://doi.org/10.1145/2735952openalex-snapshot
A Real-Time Hand Posture Recognition System Using Deep Neural Networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2019/4167890openalex-snapshot
Static Hand Gesture Recognition Based on Convolutional Neural Networks
inferredcites →https://doi.org/10.12720/joace.3.1.40-45openalex-snapshot
Static Hand Gesture Recognition Using Principal Component Analysis Combined with Artificial Neural Network
inferredcites →https://doi.org/10.12720/joig.1.1.34-38openalex-snapshot
Static Hand Gesture Recognition Using Artificial Neural Network

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.7653openalex-snapshot
A review on computational methods based automated sign language recognition system for hearing and speech impaired community
inferred← citeshttps://doi.org/10.1007/s10462-024-10792-5openalex-snapshot
Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128550openalex-snapshot
Mamba-based multi-scale multi-dimensional keypoint regression network for accurate 3D hand pose estimation
inferred← citeshttps://doi.org/10.1016/j.patrec.2024.05.019openalex-snapshot
HandFormer: Hand pose reconstructing from a single RGB image
inferred← citeshttps://doi.org/10.1109/iciset62123.2024.10939969openalex-snapshot
Automated Grading and Classification of Hand-Drawn Sketches Using Deep Learning
inferred← citeshttps://doi.org/10.1109/iconscept66142.2025.11437186openalex-snapshot
AI-Based Sign Language Translator Using CNN And Virtual Avatar
inferred← citeshttps://doi.org/10.1109/nnice61279.2024.10498799openalex-snapshot
Research on Gesture Recognition Based on Neural Network and Virtual Reality Technology
inferred← citeshttps://doi.org/10.1109/nrsc65659.2025.11018573openalex-snapshot
Lightweight Sign Language Recognition Through Tiny MobileNet and 3D Multi-Head Soft Attention Mechanism
inferred← citeshttps://doi.org/10.1117/1.jei.32.1.013005openalex-snapshot
Light-SRNet: a lightweight dual-attention feature fusion network for hand-drawn sketch recognition
inferred← citeshttps://doi.org/10.32604/cmc.2023.042886openalex-snapshot
Deep Learning Approach for Hand Gesture Recognition: Applications in Deaf Communication and Healthcare
inferred← citeshttps://doi.org/10.3390/app13053029openalex-snapshot
Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
inferred← citeshttps://doi.org/10.3390/app132111993openalex-snapshot
Fusion of Attention-Based Convolution Neural Network and HOG Features for Static Sign Language Recognition
inferred← citeshttps://doi.org/10.3390/app16168247openalex-snapshot
Deep Learning-Aided Head-Posture Monitoring via a Wearable Device for Learning Attention Application
inferred← citeshttps://doi.org/10.3390/mi13122212openalex-snapshot
Attachable Inertial Device with Machine Learning toward Head Posture Monitoring in Attention Assessment
inferred← citeshttps://doi.org/10.3390/s25185783openalex-snapshot
Integrating Cross-Modal Semantic Learning with Generative Models for Gesture Recognition
inferred← citeshttps://doi.org/10.48001/978-81-966500-6-3-3openalex-snapshot
Gesture-Controlled Robotics: Enhancing Automation and Safety
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.