[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

González-Rodríguez et al., 2024 - Google Patents

Towards a Bidirectional Mexican Sign Language–Spanish Translation System: A Deep Learning Approach

González-Rodríguez et al., 2024

View HTML
Document ID
5264550323609959874
Author
González-Rodríguez J
Córdova-Esparza D
Terven J
Romero-González J
Publication year
Publication venue
Technologies

External Links

Snippet

People with hearing disabilities often face communication barriers when interacting with hearing individuals. To address this issue, this paper proposes a bidirectional Sign Language Translation System that aims to bridge the communication gap. Deep learning …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL

Similar Documents

Publication Publication Date Title
Ko et al. Neural sign language translation based on human keypoint estimation
Zeng et al. Lcf: A local context focus mechanism for aspect-based sentiment classification
Shin et al. Korean sign language recognition using transformer-based deep neural network
Rivera-Acosta et al. American sign language alphabet recognition using a neuromorphic sensor and an artificial neural network
Rivera-Acosta et al. Spelling correction real-time american sign language alphabet translation system based on yolo network and LSTM
Mejía-Peréz et al. Automatic recognition of mexican sign language using a depth camera and recurrent neural networks
Chaudhari et al. Facial emotion recognition with inter-modality-attention-transformer-based self-supervised learning
Podder et al. Signer-independent Arabic Sign Language recognition system using deep learning model
González-Rodríguez et al. Towards a Bidirectional Mexican Sign Language–Spanish Translation System: A Deep Learning Approach
Chen et al. Recursive feature elimination for improving learning points on hand-sign recognition
Alharthi et al. Vision transformers and transfer learning approaches for arabic sign language recognition
Xia et al. A sign language recognition system applied to deaf-mute medical consultation
Kapuscinski et al. Recognition of signed expressions in an experimental system supporting deaf clients in the city office
Alsharif et al. Deep learning technology to recognize american sign language alphabet
Kapuściński et al. Hand posture recognition using skeletal data and distance descriptor
Abdul Ameer et al. Empowering communication: a deep learning framework for Arabic sign language recognition with an attention mechanism
Marzouk et al. Atom search optimization with deep learning enabled arabic sign language recognition for speaking and hearing disability persons
Gomaa et al. Empowering short answer grading: Integrating transformer-based embeddings and BI-LSTM network
Lu et al. Sign Language Recognition with Multimodal Sensors and Deep Learning Methods
Aquino et al. Explaining and Visualizing Embeddings of One-Dimensional Convolutional Models in Human Activity Recognition Tasks
Poonia LiST: a lightweight framework for continuous indian sign language translation
Vashisth et al. Hand Gesture Recognition in Indian Sign Language Using Deep Learning
Xue et al. Deep forest-based monocular visual sign language recognition
Noor et al. Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model
Gu et al. American Sign Language alphabet recognition using inertial motion capture system with deep learning