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Spelling Correction Real-Time American Sign Language Alphabet Translation System Based on YOLO Network and LSTM

https://doi.org/10.3390/electronics10091035

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Microsoft COCO: Common Objects in Context

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American Sign Language Character Recognition Using Convolution Neural Network

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American Sign Language word recognition with a sensory glove using artificial neural networks

inferredcites →https://doi.org/10.1016/j.engappai.2018.09.006openalex-snapshot

American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion

inferredcites →https://doi.org/10.1049/iet-ipr.2018.6449openalex-snapshot

New approach to vehicle license plate location based on new model YOLO‐L and plate pre‐identification

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Indonesian Sign Language Recognition using YOLO Method

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Hand gesture recognition using low-budget data glove and cluster-trained probabilistic neural network

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Bones detection in the pelvic area on the basis of YOLO neural network

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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

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Recognizing American Sign Language Gestures from Within Continuous Videos

inferredcites →https://doi.org/10.1109/iciset.2016.7856479openalex-snapshot

Hand sign language recognition for Bangla alphabet using Support Vector Machine

inferredcites →https://doi.org/10.1109/icma.2018.8484698openalex-snapshot

Pedestrian Detection Based on YOLO Network Model

inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot

Object Detection with Discriminatively Trained Part-Based Models

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

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Convolutional and recurrent neural network for human activity recognition: Application on American sign language

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Multi-Modal Deep Hand Sign Language Recognition in Still Images Using Restricted Boltzmann Machine

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A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit

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Sign Language Recognition with the Kinect Sensor Based on Conditional Random Fields

inferredcites →https://doi.org/10.3390/s17102176openalex-snapshot

American Sign Language Alphabet Recognition Using a Neuromorphic Sensor and an Artificial Neural Network

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Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network

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British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language

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Recurrent Neural Network for Text Classification with Multi-Task Learning

What points at this work

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

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Real Time American Sign Language Recognition Using Yolov6 Model

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Breaking Barriers in Communication Using Long Short-Term Memory Networks for Sign Language Recognition

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A COMPARATIVE STUDY USING 2D CNN AND TRANSFER LEARNING TO DETECT AND CLASSIFY ARABIC-SCRIPT-BASED SIGN LANGUAGE

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American Sign Language Alphabet Recognition Using Inertial Motion Capture System with Deep Learning

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Using Artificial Intelligence for sign language translation: a systematic literature review

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