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Enabling Real-time Sign Language Translation on Mobile Platforms with On-board Depth Cameras
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Survey on Deep Transfer Learning
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A comprehensive model for voice activity in conversational speech-development and application to performance analysis of new-generation wireless communication systems
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Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs
inferredcites →https://doi.org/10.1007/s13369-012-0378-zopenalex-snapshot
Recognition of Two-Handed Arabic Signs Using the CyberGlove
inferredcites →https://doi.org/10.1016/0010-0277(72)90018-2openalex-snapshot
A comparison of sign language and spoken language
inferredcites →https://doi.org/10.1016/j.cola.2019.04.002openalex-snapshot
Multi modal spatio temporal co-trained CNNs with single modal testing on RGB–D based sign language gesture recognition
inferredcites →https://doi.org/10.1016/j.cviu.2015.09.013openalex-snapshot
Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
inferredcites →https://doi.org/10.1017/s0140525x15001247openalex-snapshot
Gesture, sign, and language: The coming of age of sign language and gesture studies
inferredcites →https://doi.org/10.1109/access.2019.2904749openalex-snapshot
Dynamic Sign Language Recognition Based on Video Sequence With BLSTM-3D Residual Networks
inferredcites →https://doi.org/10.1109/access.2019.2938829openalex-snapshot
User-Independent American Sign Language Alphabet Recognition Based on Depth Image and PCANet Features
inferredcites →https://doi.org/10.1109/access.2020.2990699openalex-snapshot
DeepArSLR: A Novel Signer-Independent Deep Learning Framework for Isolated Arabic Sign Language Gestures Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.456openalex-snapshot
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
inferredcites →https://doi.org/10.1109/cvprw.2015.7301347openalex-snapshot
American Sign Language alphabet recognition using Microsoft Kinect
inferredcites →https://doi.org/10.1109/iccvw.2017.373openalex-snapshot
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
inferredcites →https://doi.org/10.1109/iccvw.2019.00240openalex-snapshot
Resource Efficient 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iciea.2010.5514688openalex-snapshot
Chinese sign language recognition based on video sequence appearance modeling
inferredcites →https://doi.org/10.1109/icme.2015.7177428openalex-snapshot
Sign Language Recognition using 3D convolutional neural networks
inferredcites →https://doi.org/10.1109/inventive.2016.7830097openalex-snapshot
Real time sign language recognition using the leap motion controller
inferredcites →https://doi.org/10.1109/jbhi.2016.2598302openalex-snapshot
A Wearable System for Recognizing American Sign Language in Real-Time Using IMU and Surface EMG Sensors
inferredcites →https://doi.org/10.1109/mass.2017.41openalex-snapshot
A Robust Sign Language Recognition System with Sparsely Labeled Instances Using Wi-Fi Signals
inferredcites →https://doi.org/10.1109/mc.2018.2381116openalex-snapshot
Finding Small-Bowel Lesions: Challenges in Endoscopy-Image-Based Learning Systems
inferredcites →https://doi.org/10.1109/mmul.2012.24openalex-snapshot
Microsoft Kinect Sensor and Its Effect
inferredcites →https://doi.org/10.1109/percom.2017.7917845openalex-snapshot
VeinDeep: Smartphone unlock using vein patterns
inferredcites →https://doi.org/10.1109/siu.2017.7960255openalex-snapshot
Sign sentence recognition with smart watches
inferredcites →https://doi.org/10.1109/slt.2018.8639639openalex-snapshot
American Sign Language Fingerspelling Recognition in the Wild
inferredcites →https://doi.org/10.1109/tpami.2019.2911077openalex-snapshot
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093512openalex-snapshot
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
inferredcites →https://doi.org/10.1145/2629481openalex-snapshot
Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect
inferredcites →https://doi.org/10.1145/2897735openalex-snapshot
Isolated Sign Language Recognition with Grassmann Covariance Matrices
inferredcites →https://doi.org/10.1145/3134230.3134236openalex-snapshot
Real-time Embedded Recognition of Sign Language Alphabet Fingerspelling in an IMU-Based Glove
inferredcites →https://doi.org/10.1145/3152121openalex-snapshot
Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition
inferredcites →https://doi.org/10.1145/3282353.3282356openalex-snapshot
Mobile Sign Language Recognition for Bahasa Indonesia using Convolutional Neural Network
inferredcites →https://doi.org/10.1145/3308561.3353774openalex-snapshot
Sign Language Recognition, Generation, and Translation
inferredcites →https://doi.org/10.1145/3316782.3316786openalex-snapshot
American and russian sign language dactyl recognition
inferredcites →https://doi.org/10.1145/3379337.3415881openalex-snapshot
DepthLab: Real-time 3D Interaction with Depth Maps for Mobile Augmented Reality
inferredcites →https://doi.org/10.1609/aaai.v32i1.11903openalex-snapshot
Video-Based Sign Language Recognition Without Temporal Segmentation
inferredcites →https://doi.org/10.3390/s20072129openalex-snapshot
Miniaturized 3D Depth Sensing-Based Smartphone Light Field Camera
inferredcites →https://doi.org/10.48550/arxiv.1705.06950openalex-snapshot
The Kinetics Human Action Video Dataset
inferredcites →https://doi.org/10.48550/arxiv.1908.08597openalex-snapshot
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Skeleton‐Based Hand Gesture Recognition: Backgrounds, Datasets, Methods, Applications, Future Trends, and Challenges
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Systematic Review of Pre-trained Models for Real-Time Translation from Spanish to Colombian Sign Language
inferred← citeshttps://doi.org/10.1007/978-3-032-25627-0_3openalex-snapshot
Bi-directional Sign Language Translator with Integrated Speech-to-Sign Conversion
inferred← citeshttps://doi.org/10.1007/s10209-023-00992-1openalex-snapshot
Machine translation from signed to spoken languages: state of the art and challenges
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Sign language mobile apps: a systematic review of current app evaluation progress and solution framework
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A survey on sign language literature
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Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition
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inferred← citeshttps://doi.org/10.1109/icac2n63387.2024.10895283openalex-snapshot
Sign Language to text Conversion Using Machine Learning (For Deaf and Mute People)
inferred← citeshttps://doi.org/10.1109/icaccs57279.2023.10112915openalex-snapshot
Feature Fusion and Multi-Stream CNNs for ScaleAdaptive Multimodal Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icdcece60827.2024.10548470openalex-snapshot
Multimodal Deep Neural Networks for Robust Sign Language Translation in Real-World Environments
inferred← citeshttps://doi.org/10.1109/iceccme55909.2022.9988108openalex-snapshot
Maldivian Sign Language Recognition Application
inferred← citeshttps://doi.org/10.1109/icetea64585.2025.11099784openalex-snapshot
Real-Time Bidirectional Assistive Communication System for Speech and Hearing-Impaired Persons Using Deep Learning Models
inferred← citeshttps://doi.org/10.1109/icitiit64777.2025.11040416openalex-snapshot
Enhancing Sign Language Recognition and Translation with Deep Learning: A CNN-Based Approach
inferred← citeshttps://doi.org/10.1109/icssas57918.2023.10331682openalex-snapshot
Neural Network-based Real-Time Recognition of American Sign Language Finger-Spelled Gestures: Bridging Communication Gaps
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A Survey on Recognition and Translation System of Real-Time Sign Language
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GASLA: Enhancing the Applicability of Sign Language Translation
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The Sight for Hearing: An IoT-Based System to Assist Drivers with Hearing Disability
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Real-Time on-Device Neural Machine Translation for Dynamic Multilingual Mobile Application Localization
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Foreground Graphics-Aware Runtime DNN Scheduling on Mobile GPUs
inferred← citeshttps://doi.org/10.1109/percom67906.2026.11524555openalex-snapshot
HoloQRam: Efficient Real-Time Spatial Video Delivery via Animated QR Codes
inferred← citeshttps://doi.org/10.1109/tce.2026.3658738openalex-snapshot
SignCraft: Transformative Learning-Based Sign Gesture Generation for Consumer Electronics
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Enhancing the Applicability of Sign Language Translation
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Resource Allocation of Federated Learning for the Metaverse With Mobile Augmented Reality
inferred← citeshttps://doi.org/10.1109/wacvw54805.2022.00024openalex-snapshot
Sign Pose-based Transformer for Word-level Sign Language Recognition
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Memory-efficient DNN training on mobile devices
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Mozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation
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Vi2ACT:Video-enhanced Cross-modal Co-learning with Representation Conditional Discriminator for Few-shot Human Activity Recognition
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EDeN: Enabling Low-Power CNN Inference on Edge Devices Using Prefetcher-assisted NVM Systems
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Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generation
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SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
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Graceful CNN Model Degradation in Uncorrected Flash Storage for Embedded Edge Devices
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Adaptive Interaction Paradigm for Mixed Reality Games
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Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches
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Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects
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Fast Monte-Carlo Approximation of the Attention Mechanism
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Deep Learning for Sign Language Recognition: A Comparative Review
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Construction of English corpus oral instant translation model based on internet of things and deep learning of information security
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A review of sign language recognition research
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