[go: up one dir, main page]

Jenkins et al., 2021 - Google Patents

An innovative method for automatic American sign language interpretation using machine learning and leap motion controller

Jenkins et al., 2021

Document ID
17877063971816021715
Author
Jenkins J
Rashad S
Publication year
Publication venue
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

External Links

Snippet

Millions of people globally use some form of sign language in their everyday lives. There is a need for a method of gesture recognition that is as easy to use and ubiquitous as voice recognition is today. In this paper we explore a way to translate from sign language to …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • 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
    • G06F3/017Gesture based interaction, e.g. based on a set of recognized hand gestures
    • 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
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • 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
    • 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
    • G06K9/00335Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • G06K9/00355Recognition of hand or arm movements, e.g. recognition of deaf sign language
    • 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
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/20Image acquisition
    • G06K9/22Image acquisition using hand-held instruments
    • G06K9/222Image acquisition using hand-held instruments the instrument generating sequences of position coordinates corresponding to handwriting; preprocessing or recognising digital ink
    • 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
    • G06K9/00362Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • 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
    • G09B21/00Teaching, or communicating with, the blind, deaf or mute
    • G09B21/001Teaching or communicating with blind persons
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/24Speech recognition using non-acoustical features
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Ahmed et al. Based on wearable sensory device in 3D-printed humanoid: A new real-time sign language recognition system
Ahmed et al. Real-time sign language framework based on wearable device: analysis of MSL, DataGlove, and gesture recognition
Quesada et al. Automatic recognition of the American sign language fingerspelling alphabet to assist people living with speech or hearing impairments
Chuan et al. American sign language recognition using leap motion sensor
Mapari et al. Real time human pose recognition using leap motion sensor
Oliveira et al. Automatic sign language translation to improve communication
Seymour et al. A mobile application for South African Sign Language (SASL) recognition
Masood et al. Dynamic time wrapping based gesture recognition
Li et al. Signring: Continuous american sign language recognition using imu rings and virtual imu data
KR20150045335A (en) Method and apparatus for translation sign language into character
Jenkins et al. An innovative method for automatic American sign language interpretation using machine learning and leap motion controller
Raziq et al. Pakistan sign language recognition and translation system using leap motion device
Yin Real-time continuous gesture recognition for natural multimodal interaction
Bisht et al. Smart communication system using sign language interpretation
Revanth et al. Comprehensive SVM based Indian sign language recognition
Moustafa et al. Arabic sign language recognition systems: A systematic review
Seviappan et al. Sign language to text conversion using rnn-lstm
Aiswarya et al. Hidden Markov model-based Sign Language to speech conversion system in TAMIL
Cohen et al. Recognition of continuous sign language alphabet using leap motion controller
Chavan et al. Indian sign language to forecast text using leap motion sensor and RF classifier
Paudyal Towards Building an Intelligent Tutor for Gestural Languages using Concept Level Explainable AI
Escudeiro et al. Recognition of hand configuration: A critical factor in automatic sign language translation
Ahmad et al. Sign Assist: Real-Time Isolated Sign Language Recognition and Translator Model Connecting Sign Language Users with GPT Model
Damdoo et al. An integrative survey on Indian sign language recognition and translation
Taylor Real-time translation of American Sign Language using wearable technology