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

Luqman et al., 2021 - Google Patents

Towards hybrid multimodal manual and non-manual Arabic sign language recognition: MArSL database and pilot study

Luqman et al., 2021

View HTML
Document ID
12705509971787790687
Author
Luqman H
El-Alfy E
Publication year
Publication venue
Electronics

External Links

Snippet

Sign languages are the main visual communication medium between hard-hearing people and their societies. Similar to spoken languages, they are not universal and vary from region to region, but they are relatively under-resourced. Arabic sign language (ArSL) is one of …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input 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
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Health care, e.g. hospitals; Social work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

Similar Documents

Publication Publication Date Title
Liu et al. Convolutional two-stream network using multi-facial feature fusion for driver fatigue detection
Sahoo et al. Real-time hand gesture recognition using fine-tuned convolutional neural network
Sapiński et al. Emotion recognition from skeletal movements
Hakim et al. Dynamic hand gesture recognition using 3DCNN and LSTM with FSM context-aware model
Luqman et al. Towards hybrid multimodal manual and non-manual Arabic sign language recognition: MArSL database and pilot study
Rahim et al. Non-touch sign word recognition based on dynamic hand gesture using hybrid segmentation and CNN feature fusion
Siddiqui et al. A multimodal facial emotion recognition framework through the fusion of speech with visible and infrared images
Goulart et al. Visual and thermal image processing for facial specific landmark detection to infer emotions in a child-robot interaction
Borza et al. High-speed video system for micro-expression detection and recognition
Luo et al. A human-computer control system based on intelligent recognition of eye movements and its application in wheelchair driving
Bursic et al. Improving the accuracy of automatic facial expression recognition in speaking subjects with deep learning
Al-Hammadi et al. Spatial attention-based 3d graph convolutional neural network for sign language recognition
Do et al. Robust hand shape features for dynamic hand gesture recognition using multi-level feature LSTM
Podder et al. Signer-independent Arabic Sign Language recognition system using deep learning model
Silva et al. Skeleton driven action recognition using an image-based spatial-temporal representation and convolution neural network
Jalata et al. Movement analysis for neurological and musculoskeletal disorders using graph convolutional neural network
Cha et al. Hands-free user interface for AR/VR devices exploiting wearer’s facial gestures using unsupervised deep learning
Buhari et al. FACS-based graph features for real-time micro-expression recognition
Zhao et al. An improved micro-expression recognition method based on necessary morphological patches
Namba et al. Viewpoint robustness of automated facial action unit detection systems
Kapuscinski et al. Recognition of signed expressions in an experimental system supporting deaf clients in the city office
Zheng et al. Facial Micro-Expression Recognition Enhanced by Score Fusion and a Hybrid Model from Convolutional LSTM and Vision Transformer
Haroon et al. Hand gesture recognition with symmetric pattern under diverse illuminated conditions using artificial neural network
Venkatesan et al. Human Emotion Detection Using DeepFace and Artificial Intelligence
Poonia LiST: a lightweight framework for continuous indian sign language translation