The Sign2 Project Digital Translation of American Sign- Language to Audio and Text
|
|
- Abigayle Sibyl Powell
- 6 years ago
- Views:
Transcription
1 The Sign2 Project Digital Translation of American Sign- Language to Audio and Text Fitzroy Lawrence, Jr. Advisor: Dr. Chance Glenn, The Center for Advanced Technology Development Rochester Institute of Technology (c) 2 The Center for Advanced Technology
2 Abstract The purpose of my research is to implement a device or apparatus that captures American Sign Language and converts it into sound and/or text. This will enable people who cannot use sign language to communicate with deaf and hard of hearing people. The way I plan to achieve these results are through the means of image processing. Using a combined method developed within Rochester Institute of Technology and Binghamton University, we are using a set of default points set all over the left and right hands (Points-of-Digital Articulation) to extract and compute into a database different letters of the American Sign Language. This will be expanded on with more body movements later on. By maximizing, the results I wish to obtain will lead to the production of a portable device that can be worn or carried by a deaf or hearing impaired individual that can translate American Sign Language into English text or sound, in real-time, in a efficient manner (c) 2 The Center for Advanced Technology
3 Project Statement The purpose of my research is to implement a device or apparatus that captures American Sign Language and converts it into sound and/or text. This will enable people who cannot use sign language to communicate with deaf and hard of hearing people. Buffered Storage Stereo Imaging Device Processing Hello, how are you? (c) 2 The Center for Advanced Technology
4 The Approach The approach employs the use of advanced image processing. LEFT RIGHT Using a combined method developed within Rochester Institute of Technology and Binghamton University, we establish digital points of articulation (dpoas) to extract critical data from the image. We will demonstrate this in ASL fingerspelling. This will be expanded on with more body movements later on. L-9 L-8 L- L- L- L-7 L-2L-8 L- L- L- L- L-9 L- L- L-2 L-7 L- L- L- R-7 R- R- R- R- R- R- R-9 R-9 R- R-8 R- R- R-8 R-7 R-2 R-2 R- R- R- (c) 2 The Center for Advanced Technology
5 American Sign Language Alphabet A B C D E F G H I J K L M N O P Q R S T U V W X Y Z (c) 2 The Center for Advanced Technology
6 Sign2 System Block Diagram Image Capture Device Input dpoa to ASL Correlator dpoa Statistical Database Image Processor ASL to English Converter dpoa Discriminator. Audio/Text Conversion Output (c) 2 The Center for Advanced Technology
7 Some Examples Letter: A POAr Indicator R-. H-Position V-Position R- R R- 7 8 R- R-. 7 R- 8. R R-8 R-9. Vertical Position R-.7 R-.7.7 R-2 R- R R-.2.2 R- R-7.2 R R-9.. Horizontal Position (c) 2 The Center for Advanced Technology
8 Letter: A (2nd Trial) Some Examples POAr Indicator H-Position V-Position R- R R-2 R R- R-.2 7 R- R-7 R-8. Vertical Position R-9 R-. R- R-2.2 R- 2 R- R-...2 R- R-7 R-8 R Horizontal Position (c) 2 The Center for Advanced Technology
9 (c) 2 The Center for Advanced Technology After Imagine Capturing y x POAr A RIGHT y-scaled x-scaled y-norm x-norm scaling & positioning normalization
10 Error Correllation X-Normalized vs. dpoa# e n = d B n d I n.2 Input X.8. e T = 9 n = e n..2 database dpoa# Where e T is minimized, there suggest a match with a pre-stored letter from the statistical database. (c) 2 The Center for Advanced Technology
11 Data Processing X-Normalized vs. dpoa#.2.8 X dpoa# (c) 2 The Center for Advanced Technology
12 Data Processing Y-Normalized vs. dpoa#.2.8 Y dpoa# (c) 2 The Center for Advanced Technology
13 Data Processing Y-Normalized vs. X-Normalized.2.8 Y X (c) 2 The Center for Advanced Technology
14 Conclusions Through these results, I wish to lead the production of a portable device that can be worn or carried by a deaf or hearing impaired individual that can translate American Sign Language into English text or sound, in real-time, in a efficient manner. This device may be worn around the neck, or even placed on the hip. The realization of this device would allow a person who does not know sign-language to communicate with a deaf person. (c) 2 The Center for Advanced Technology
15 References Ahmad, S., and Tesp, V., Classification with missing and uncertain inputs, Proc. Inter. Conf. on Neural Networks, Vol., 99. pp99-9 Alkoby, K., and Sedgwick, E., Using a Computer to Fingerspell. DeafExpo 99, San Diego, CA, November 9-22, 999. ASL Fingerspelling Conversion, Where.com ( Bobick, A. and J. Davis, 2 "The recognition of human movement using temporal templates," IEEE Transaction on Pattern Analysis & Machine Intelligence, Vol 2, No.. Bristo, M., et.al., Access to Multimedia Technology by People with Sensory Disabilities, National Council on Disabilities report to Congress, 998. Carter, R., et. al., A Better Model for Animating American Sign Language, Proceedings of the Technology and Persons with Disabilities, California State University Northridge, Los Angeles, CA, USA, March 22. CyberGlove, 2. Furst, J., et.al, Database Design for American Sign Language. Proceedings of the ISCA th International Conference on Computers and Their Applications (CATA-2) Haritaogula, I., Harwood, D. and Davis, L., 2, W: Real-Time Surveillance of People and their activities, IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol 22, No. 8, Hernandez-Rebollar, J.L., et. al., A Multi-Class Pattern Recognition System for Practical Finger Spelling Translation, Fourth IEEE Int'l Conference on Multimodal Interfaces (ICMI'2), Pittsburgh, USA, October -, 22, pp Inventor Designs Sign Language Glove, USA Today Online, ( Tech section, Associated Press, August, 2. Itti L., and C. Koch. 2. Computational modeling of visual attention. Nature Neuroscience Review., 2():9-2. Kadous, Mohammed Waleed. Machine Recognition of Auslan Signs Using Power Gloves: Towards Large-Lexicon Recognition of Sign Languages. July 99. Kalra, P., Magnenat-Thalmann, Mossozet, et. al., Real-time animation aof realistic virtual humans, IEEE Computer Graphics and Applications, vol.8, Sept pp2- (c) 2 The Center for Advanced Technology
Implementation of image processing approach to translation of ASL finger-spelling to digital text
Rochester Institute of Technology RIT Scholar Works Articles 2006 Implementation of image processing approach to translation of ASL finger-spelling to digital text Divya Mandloi Kanthi Sarella Chance Glenn
More informationSign Language to English (Slate8)
Sign Language to English (Slate8) App Development Nathan Kebe El Faculty Advisor: Dr. Mohamad Chouikha 2 nd EECS Day April 20, 2018 Electrical Engineering and Computer Science (EECS) Howard University
More informationInternational Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Vol 5, Issue 3, March 2018 Gesture Glove
Gesture Glove [1] Kanere Pranali, [2] T.Sai Milind, [3] Patil Shweta, [4] Korol Dhanda, [5] Waqar Ahmad, [6] Rakhi Kalantri [1] Student, [2] Student, [3] Student, [4] Student, [5] Student, [6] Assistant
More informationCharacterization of 3D Gestural Data on Sign Language by Extraction of Joint Kinematics
Human Journals Research Article October 2017 Vol.:7, Issue:4 All rights are reserved by Newman Lau Characterization of 3D Gestural Data on Sign Language by Extraction of Joint Kinematics Keywords: hand
More informationSmart Gloves for Hand Gesture Recognition and Translation into Text and Audio
Smart Gloves for Hand Gesture Recognition and Translation into Text and Audio Anshula Kumari 1, Rutuja Benke 1, Yasheseve Bhat 1, Amina Qazi 2 1Project Student, Department of Electronics and Telecommunication,
More informationReal Time Sign Language Processing System
Real Time Sign Language Processing System Dibyabiva Seth (&), Anindita Ghosh, Ariruna Dasgupta, and Asoke Nath Department of Computer Science, St. Xavier s College (Autonomous), Kolkata, India meetdseth@gmail.com,
More informationAVR Based Gesture Vocalizer Using Speech Synthesizer IC
AVR Based Gesture Vocalizer Using Speech Synthesizer IC Mr.M.V.N.R.P.kumar 1, Mr.Ashutosh Kumar 2, Ms. S.B.Arawandekar 3, Mr.A. A. Bhosale 4, Mr. R. L. Bhosale 5 Dept. Of E&TC, L.N.B.C.I.E.T. Raigaon,
More informationInternational Journal of Advance Engineering and Research Development. Gesture Glove for American Sign Language Representation
Scientific Journal of Impact Factor (SJIF): 4.14 International Journal of Advance Engineering and Research Development Volume 3, Issue 3, March -2016 Gesture Glove for American Sign Language Representation
More informationProfessor Brenda Schick
Fingerspelling and Phonological Awareness: An Intervention to Improve Phonological Awareness in Fingerspelling as an Alternative Pathway to Literacy in Deaf and Hard-of-Hearing Children Professor Brenda
More informationAccessible Computing Research for Users who are Deaf and Hard of Hearing (DHH)
Accessible Computing Research for Users who are Deaf and Hard of Hearing (DHH) Matt Huenerfauth Raja Kushalnagar Rochester Institute of Technology DHH Auditory Issues Links Accents/Intonation Listening
More informationA Wearable Hand Gloves Gesture Detection based on Flex Sensors for disabled People
A Wearable Hand Gloves Gesture Detection based on Flex Sensors for disabled People Kunal Purohit 1, Prof. Kailash Patidar 2, Mr. Rishi Singh Kushwah 3 1 M.Tech Scholar, 2 Head, Computer Science & Engineering,
More informationEmbedded Based Hand Talk Assisting System for Dumb Peoples on Android Platform
Embedded Based Hand Talk Assisting System for Dumb Peoples on Android Platform R. Balakrishnan 1, Santosh BK 2, Rahul H 2, Shivkumar 2, Sunil Anthony 2 Assistant Professor, Department of Electronics and
More informationAnalysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information
Analysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information C. Busso, Z. Deng, S. Yildirim, M. Bulut, C. M. Lee, A. Kazemzadeh, S. Lee, U. Neumann, S. Narayanan Emotion
More informationABSTRACT I. INTRODUCTION
International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2017 IJSRCSEIT Volume 2 Issue 5 ISSN : 2456-3307 An Innovative Artificial Replacement to Facilitate
More informationCommunication Interface for Mute and Hearing Impaired People
Communication Interface for Mute and Hearing Impaired People *GarimaRao,*LakshNarang,*Abhishek Solanki,*Kapil Singh, Mrs.*Karamjit Kaur, Mr.*Neeraj Gupta. *Amity University Haryana Abstract - Sign language
More informationFinger spelling recognition using distinctive features of hand shape
Finger spelling recognition using distinctive features of hand shape Y Tabata 1 and T Kuroda 2 1 Faculty of Medical Science, Kyoto College of Medical Science, 1-3 Imakita Oyama-higashi, Sonobe, Nantan,
More informationMicrophone Input LED Display T-shirt
Microphone Input LED Display T-shirt Team 50 John Ryan Hamilton and Anthony Dust ECE 445 Project Proposal Spring 2017 TA: Yuchen He 1 Introduction 1.2 Objective According to the World Health Organization,
More informationModeling the Use of Space for Pointing in American Sign Language Animation
Modeling the Use of Space for Pointing in American Sign Language Animation Jigar Gohel, Sedeeq Al-khazraji, Matt Huenerfauth Rochester Institute of Technology, Golisano College of Computing and Information
More informationeasy read Your rights under THE accessible InformatioN STandard
easy read Your rights under THE accessible InformatioN STandard Your Rights Under The Accessible Information Standard 2 1 Introduction In July 2015, NHS England published the Accessible Information Standard
More informationRecognition of sign language gestures using neural networks
Recognition of sign language gestures using neural s Peter Vamplew Department of Computer Science, University of Tasmania GPO Box 252C, Hobart, Tasmania 7001, Australia vamplew@cs.utas.edu.au ABSTRACT
More informationGesture Recognition using Marathi/Hindi Alphabet
Gesture Recognition using Marathi/Hindi Alphabet Rahul Dobale ¹, Rakshit Fulzele², Shruti Girolla 3, Seoutaj Singh 4 Student, Computer Engineering, D.Y. Patil School of Engineering, Pune, India 1 Student,
More informationTWO HANDED SIGN LANGUAGE RECOGNITION SYSTEM USING IMAGE PROCESSING
134 TWO HANDED SIGN LANGUAGE RECOGNITION SYSTEM USING IMAGE PROCESSING H.F.S.M.Fonseka 1, J.T.Jonathan 2, P.Sabeshan 3 and M.B.Dissanayaka 4 1 Department of Electrical And Electronic Engineering, Faculty
More informationLabview Based Hand Gesture Recognition for Deaf and Dumb People
International Journal of Engineering Science Invention (IJESI) ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 7 Issue 4 Ver. V April 2018 PP 66-71 Labview Based Hand Gesture Recognition for Deaf
More informationThe Leap Motion controller: A view on sign language
The Leap Motion controller: A view on sign language Author Potter, Leigh-Ellen, Araullo, Jake, Carter, Lewis Published 2013 Conference Title The 25th Australian Computer-Human Interaction Conference DOI
More informationGlove for Gesture Recognition using Flex Sensor
Glove for Gesture Recognition using Flex Sensor Mandar Tawde 1, Hariom Singh 2, Shoeb Shaikh 3 1,2,3 Computer Engineering, Universal College of Engineering, Kaman Survey Number 146, Chinchoti Anjur Phata
More informationSign Language in the Intelligent Sensory Environment
Sign Language in the Intelligent Sensory Environment Ákos Lisztes, László Kővári, Andor Gaudia, Péter Korondi Budapest University of Science and Technology, Department of Automation and Applied Informatics,
More informationeasy read Your rights under THE accessible InformatioN STandard
easy read Your rights under THE accessible InformatioN STandard Your Rights Under The Accessible Information Standard 2 Introduction In June 2015 NHS introduced the Accessible Information Standard (AIS)
More informationQuestion 2. The Deaf community has its own culture.
Question 1 The only communication mode the Deaf community utilizes is Sign Language. False The Deaf Community includes hard of hearing people who do quite a bit of voicing. Plus there is writing and typing
More informationGlossary of Inclusion Terminology
Glossary of Inclusion Terminology Accessible A general term used to describe something that can be easily accessed or used by people with disabilities. Alternate Formats Alternate formats enable access
More informationAvailable online at ScienceDirect. Procedia Technology 24 (2016 )
Available online at www.sciencedirect.com ScienceDirect Procedia Technology 24 (2016 ) 1068 1073 International Conference on Emerging Trends in Engineering, Science and Technology (ICETEST - 2015) Improving
More informationDate: April 19, 2017 Name of Product: Cisco Spark Board Contact for more information:
Date: April 19, 2017 Name of Product: Cisco Spark Board Contact for more information: accessibility@cisco.com Summary Table - Voluntary Product Accessibility Template Criteria Supporting Features Remarks
More informationLearning Objectives. AT Goals. Assistive Technology for Sensory Impairments. Review Course for Assistive Technology Practitioners & Suppliers
Assistive Technology for Sensory Impairments Review Course for Assistive Technology Practitioners & Suppliers Learning Objectives Define the purpose of AT for persons who have sensory impairment Identify
More informationIf searched for a ebook To Fingerspell or Not to Fingerspell...: Restoring Deaf Tested and Deaf Approved Techniques (The Interpreting Handbook
To Fingerspell Or Not To Fingerspell...: Restoring Deaf Tested And Deaf Approved Techniques (The Interpreting Handbook Workbooks 2) [Kindle Edition] By Caryl Williams Love;Brian Cerney READ ONLINE If searched
More informationSign Language Interpretation Using Pseudo Glove
Sign Language Interpretation Using Pseudo Glove Mukul Singh Kushwah, Manish Sharma, Kunal Jain and Anish Chopra Abstract The research work presented in this paper explores the ways in which, people who
More informationRecognition of Voice and Text Using Hand Gesture
Recognition of Voice and Text Using Hand Gesture Ms. P.V.Gawande 1, Ruchira A. Chavan 2, Kalyani S. Kanade 3,Divya D. Urkande 4, Tejaswini S. Jumale 5, Karishma D. Kamale 6 Asst. Professor, Electronics
More informationUsing Deep Convolutional Networks for Gesture Recognition in American Sign Language
Using Deep Convolutional Networks for Gesture Recognition in American Sign Language Abstract In the realm of multimodal communication, sign language is, and continues to be, one of the most understudied
More informationIDENTIFICATION OF REAL TIME HAND GESTURE USING SCALE INVARIANT FEATURE TRANSFORM
Research Article Impact Factor: 0.621 ISSN: 2319507X INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK IDENTIFICATION OF REAL TIME
More informationA note of compassion, and a note of skepticism
Language Impairment Language problems Several conditions are related to difficulties in spoken language acquisition: Hearing impairment Intellectual impairments Autism/PDD Specific language impairment
More informationDetection and Recognition of Sign Language Protocol using Motion Sensing Device
Detection and Recognition of Sign Language Protocol using Motion Sensing Device Rita Tse ritatse@ipm.edu.mo AoXuan Li P130851@ipm.edu.mo Zachary Chui MPI-QMUL Information Systems Research Centre zacharychui@gmail.com
More informationCURRICULUM VITAE. Majed Alsalem Assistant Professor King Saud University.
CURRICULUM VITAE Majed Alsalem Assistant Professor King Saud University EDUCATION majalsalem@ksa.edu.sa 2011-2015 Doctorate of Philosophy in Special Education, University of Kansas Major: Special Education
More informationCURRICULUM VITAE. Majed Alsalem Assistant Professor King Saud University.
CURRICULUM VITAE Majed Alsalem Assistant Professor King Saud University EDUCATION majalsalem@ksa.edu.sa 2011-2015 Doctorate of Philosophy in Special Education, University of Kansas Major: Special Education
More information1. INTRODUCTION. Vision based Multi-feature HGR Algorithms for HCI using ISL Page 1
1. INTRODUCTION Sign language interpretation is one of the HCI applications where hand gesture plays important role for communication. This chapter discusses sign language interpretation system with present
More informationHand Sign Communication System for Hearing Imparied
Hand Sign Communication System for Hearing Imparied Deepa S R Vaneeta M Sangeetha V Mamatha A Assistant Professor Assistant Professor Assistant Professor Assistant Professor Department of Computer Science
More informationA Review on Gesture Vocalizer
A Review on Gesture Vocalizer Deena Nath 1, Jitendra Kurmi 2, Deveki Nandan Shukla 3 1, 2, 3 Department of Computer Science, Babasaheb Bhimrao Ambedkar University Lucknow Abstract: Gesture Vocalizer is
More informationSign Language Recognition using Webcams
Sign Language Recognition using Webcams Overview Average person s typing speed Composing: ~19 words per minute Transcribing: ~33 words per minute Sign speaker Full sign language: ~200 words per minute
More informationSPEECH TO TEXT CONVERTER USING GAUSSIAN MIXTURE MODEL(GMM)
SPEECH TO TEXT CONVERTER USING GAUSSIAN MIXTURE MODEL(GMM) Virendra Chauhan 1, Shobhana Dwivedi 2, Pooja Karale 3, Prof. S.M. Potdar 4 1,2,3B.E. Student 4 Assitant Professor 1,2,3,4Department of Electronics
More informationSmart Speaking Gloves for Speechless
Smart Speaking Gloves for Speechless Bachkar Y. R. 1, Gupta A.R. 2 & Pathan W.A. 3 1,2,3 ( E&TC Dept., SIER Nasik, SPP Univ. Pune, India) Abstract : In our day to day life, we observe that the communication
More informationOverview 6/27/16. Rationale for Real-time Text in the Classroom. What is Real-Time Text?
Access to Mainstream Classroom Instruction Through Real-Time Text Michael Stinson, Rochester Institute of Technology National Technical Institute for the Deaf Presentation at Best Practice in Mainstream
More informationDevelopment of an Electronic Glove with Voice Output for Finger Posture Recognition
Development of an Electronic Glove with Voice Output for Finger Posture Recognition F. Wong*, E. H. Loh, P. Y. Lim, R. R. Porle, R. Chin, K. Teo and K. A. Mohamad Faculty of Engineering, Universiti Malaysia
More informationRecognition of Tamil Sign Language Alphabet using Image Processing to aid Deaf-Dumb People
Available online at www.sciencedirect.com Procedia Engineering 30 (2012) 861 868 International Conference on Communication Technology and System Design 2011 Recognition of Tamil Sign Language Alphabet
More informationMember 1 Member 2 Member 3 Member 4 Full Name Krithee Sirisith Pichai Sodsai Thanasunn
Microsoft Imagine Cup 2010 Thailand Software Design Round 1 Project Proposal Template PROJECT PROPOSAL DUE: 31 Jan 2010 To Submit to proposal: Register at www.imaginecup.com; select to compete in Software
More informationToward true ASL dictionaries: New developments in handshape similarity
Toward true ASL dictionaries: New developments in handshape similarity Karen Alkoby DePaul University School of Computer Science Chicago, IL alkobykrn7@rcn.com Abstract Despite the oralism movement, ASL
More informationAuslan Sign Recognition Using Computers and Gloves
Auslan Sign Recognition Using Computers and Gloves Mohammed Waleed Kadous School of Computer Science and Engineering University of New South Wales waleed@cse.unsw.edu.au http://www.cse.unsw.edu.au/~waleed/
More informationIntroduction. Spoken language phonology. Spoken language phonology. Sign language phonology. Spoken language phonology
Defining an articulatory joint space for sign language handshapes Petra Eccarius Indiana University School of Medicine Indianapolis, Indiana, US Robert Scheidt Marquette University Milwaukee, Wisconsin,
More informationA Cascaded Speech to Arabic Sign Language Machine Translator using Adaptation
A Cascaded Speech to Sign Language Machine Translator using Adaptation Shereen A. Mohamed Department of Mathematics and Computer Science, Faculty of Science, Alexandria University, Mohamed A. Abdou Informatics
More informationISSN: [Jain * et al., 7(4): April, 2018] Impact Factor: 5.164
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY IMAGE PROCESSING BASED SPEAKING SYSTEM FOR MUTE PEOPLE USING HAND GESTURES Abhishek Jain *1, Lakshita Jain 2, Ishaan Sharma 3
More information3. MANUAL ALPHABET RECOGNITION STSTM
Proceedings of the IIEEJ Image Electronics and Visual Computing Workshop 2012 Kuching, Malaysia, November 21-24, 2012 JAPANESE MANUAL ALPHABET RECOGNITION FROM STILL IMAGES USING A NEURAL NETWORK MODEL
More informationAn Approach to Modeling Facial Expressions Used in American Sign Language
An Approach to Modeling Facial Expressions Used in American Sign Language Brock Craft, Damien Hinkle, Eric Sedgwick, Karen Alkoby, Mary Jo Davidson, Roymieco Carter, Juliet Christopher, Jacob Furst, Brian
More informationHand Gesture Recognition System for Deaf and Dumb Persons
Hand Gesture Recognition System for Deaf and Dumb Persons Mr.R.Jagadish 1, R.Gayathri 2, R.Mohanapriya 3, R.Kalaivani 4 and S.Keerthana 5 1 Associate Professor, Department of Electronics and Communication
More informationOverview. Introduction
Overview Introduction Auslan (Australian Sign Language) is the language of the Deaf 1 community of Australia and is descended from British Sign Language (BSL). Auslan and other signed languages around
More informationAnalysis of Speech Recognition Techniques for use in a Non-Speech Sound Recognition System
Analysis of Recognition Techniques for use in a Sound Recognition System Michael Cowling, Member, IEEE and Renate Sitte, Member, IEEE Griffith University Faculty of Engineering & Information Technology
More informationReal-time Communication System for the Deaf and Dumb
Real-time Communication System for the Deaf and Dumb Kedar Potdar 1, Gauri Nagavkar 2 U.G. Student, Department of Computer Engineering, Watumull Institute of Electronics Engineering and Computer Technology,
More informationProviding Effective Communication Access
Providing Effective Communication Access 2 nd International Hearing Loop Conference June 19 th, 2011 Matthew H. Bakke, Ph.D., CCC A Gallaudet University Outline of the Presentation Factors Affecting Communication
More informationSign Language Fun in the Early Childhood Classroom
Sign Language Fun in the Early Childhood Classroom Enrich Language and Literacy Skills of Young Hearing Children, Children with Special Needs, and English Language Learners by Sherrill B. Flora My name
More informationA Brain Computer Interface System For Auto Piloting Wheelchair
A Brain Computer Interface System For Auto Piloting Wheelchair Reshmi G, N. Kumaravel & M. Sasikala Centre for Medical Electronics, Dept. of Electronics and Communication Engineering, College of Engineering,
More informationQuality Assessment of Human Hand Posture Recognition System Er. ManjinderKaur M.Tech Scholar GIMET Amritsar, Department of CSE
Quality Assessment of Human Hand Posture Recognition System Er. ManjinderKaur M.Tech Scholar GIMET Amritsar, Department of CSE mkwahla@gmail.com Astt. Prof. Prabhjit Singh Assistant Professor, Department
More informationA Sound Foundation Through Early Amplification
11 A Sound Foundation Through Early Amplification Proceedings of the 7th International Conference 2016 Hear well or hearsay? Do modern wireless technologies improve hearing performance in CI users? Jace
More informationSign Synthesis and Sign Phonology Angus B. Grieve-Smith Linguistics Department University of New Mexico
Angus B. Grieve-Smith Linguistics Department University of New Mexico Over the past half century, computerized speech synthesis has provided not only applications for linguistic theory, but also a source
More informationImproving Reading of Deaf and Hard of Hearing Children Through Technology Morocco
Improving Reading of Deaf and Hard of Hearing Children Through Technology Morocco A presentation by: Corinne K. Vinopol, Ph.D. Institute for Disabilities Research and Training, Inc. (IDRT) www.idrt.com
More informationITU-T. FG AVA TR Version 1.0 (10/2013) Part 3: Using audiovisual media A taxonomy of participation
International Telecommunication Union ITU-T TELECOMMUNICATION STANDARDIZATION SECTOR OF ITU FG AVA TR Version 1.0 (10/2013) Focus Group on Audiovisual Media Accessibility Technical Report Part 3: Using
More informationI. Language and Communication Needs
Child s Name Date Additional local program information The primary purpose of the Early Intervention Communication Plan is to promote discussion among all members of the Individualized Family Service Plan
More informationApple emac. Standards Subpart Software applications and operating systems. Subpart B -- Technical Standards
Apple emac Standards Subpart 1194.21 Software applications and operating systems. 1194.22 Web-based intranet and internet information and applications. 1194.23 Telecommunications products. 1194.24 Video
More informationTURKISH SIGN LANGUAGE RECOGNITION USING HIDDEN MARKOV MODEL
TURKISH SIGN LANGUAGE RECOGNITION USING HIDDEN MARKOV MODEL Kakajan Kakayev 1 and Ph.D. Songül Albayrak 2 1,2 Department of Computer Engineering, Yildiz Technical University, Istanbul, Turkey kkakajan@gmail.com
More informationBefore the Department of Transportation, Office of the Secretary Washington, D.C
Before the Department of Transportation, Office of the Secretary Washington, D.C. 20554 ) In the Matter of ) Accommodations for Individuals Who Are ) OST Docket No. 2006-23999 Deaf, Hard of Hearing, or
More informationAssistant Professor, PG and Research Department of Computer Applications, Sacred Heart College (Autonomous), Tirupattur, Vellore, Tamil Nadu, India
International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018 IJSRCSEIT Volume 3 Issue 7 ISSN : 2456-3307 Collaborative Learning Environment Tool In E-Learning
More informationenterface 13 Kinect-Sign João Manuel Ferreira Gameiro Project Proposal for enterface 13
enterface 13 João Manuel Ferreira Gameiro Kinect-Sign Project Proposal for enterface 13 February, 2013 Abstract This project main goal is to assist in the communication between deaf and non-deaf people.
More informationMicrocontroller and Sensors Based Gesture Vocalizer
Microcontroller and Sensors Based Gesture Vocalizer ATA-UR-REHMAN SALMAN AFGHANI MUHAMMAD AKMAL RAHEEL YOUSAF Electrical Engineering Lecturer Rachna College of Engg. and tech. Gujranwala Computer Engineering
More informationTeaching students in VET who have a hearing loss: Glossary of Terms
Teaching students in VET who have a hearing loss: Glossary of s As is the case with any specialised field, terminology relating to people who are deaf or hard of hearing can appear confusing. A glossary
More informationAsl Flash Cards Learn Signs For Action Opposites English Spanish And American Sign Language English And Spanish Edition
Asl Flash Cards Learn Signs For Action Opposites English Spanish And American Sign Language English And We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our
More informationImage Processing of Eye for Iris Using. Canny Edge Detection Technique
Image Processing of Eye for Iris Using Canny Edge Detection Technique D. Anitha 1, M. Suganthi 2 & P. Suresh 3 1 Department of IT, Muthayammal Engineering College, Rasipuram, Tamilnadu. 2 Department of
More informationJOSHUA A. MIELE, Ph.D.
Title: Scientist JOSHUA A. MIELE, Ph.D. Role: Associate Director Education Institution and Location: Degree: Year: Field Of Study: University of California, Berkeley B.A. 1997 Physics University of California,
More informationPAPER REVIEW: HAND GESTURE RECOGNITION METHODS
PAPER REVIEW: HAND GESTURE RECOGNITION METHODS Assoc. Prof. Abd Manan Ahmad 1, Dr Abdullah Bade 2, Luqman Al-Hakim Zainal Abidin 3 1 Department of Computer Graphics and Multimedia, Faculty of Computer
More informationSummary Table Voluntary Product Accessibility Template
PLANTRONICS VPAT 3 Product: Wireless Hearing Aid Compatible (HAC) Headsets Operated with dedicated Base assembly Over the Head Voice Tube: Pulsar 590, CS351 Over the Head Noise-Canceling: CS351N Convertible
More informationCHAPTER FOUR: Identity and Communication in the Deaf Community
CHAPTER FOUR: Identity and Communication in the Deaf Community Chapter Summary Review this chapter in your textbook This chapter introduces a number of terms used to define identity and communication in
More informationEye Movements of Deaf and Hard of Hearing Viewers of Automatic Captions
Eye Movements of Deaf and Hard of Hearing Viewers of Automatic Captions Kevin Rathbun, Larwan Berke, Christopher Caulfield, Michael Stinson, Matt Huenerfauth Rochester Institute of Technology kevinrat@buffalo.edu,
More informationicommunicator, Leading Speech-to-Text-To-Sign Language Software System, Announces Version 5.0
For Immediate Release: William G. Daddi Daddi Brand Communications (P) 212-404-6619 (M) 917-620-3717 Bill@daddibrand.com icommunicator, Leading Speech-to-Text-To-Sign Language Software System, Announces
More informationSummary Table Voluntary Product Accessibility Template. Supporting Features. Not Applicable. Supports. Not Applicable. Supports
Page 1 of 5 PLANTRONICS Over the Head USB Noise cancelling Stereo: Operated with DA60 In-line Stereo QD W/ D261N Over the Head USB Noise cancelling Mono/ Binaural: Operated with DA60 In-line Mono QD W/
More informationAugmented Cognition to enhance human sensory awareness, cognitive functioning and psychic functioning: a research proposal in two phases
Augmented Cognition to enhance human sensory awareness, cognitive functioning and psychic functioning: a research proposal in two phases James Lake MD (egret4@sbcglobal.net) Overview and objectives Augmented
More informationSentence Formation in NLP Engine on the Basis of Indian Sign Language using Hand Gestures
Sentence Formation in NLP Engine on the Basis of Indian Sign Language using Hand Gestures Sumeet R. Agarwal Sagarkumar B. Agrawal Akhtar M. Latif ABSTRACT A person who is hearing impaired or mute is not
More informationProgress in Automated Computer Recognition of Sign Language
Progress in Automated Computer Recognition of Sign Language Barbara L. Loeding 1, Sudeep Sarkar 2, Ayush Parashar 2, and Arthur I. Karshmer 3 1 Department of Special Education, University of South Florida,
More informationSummary Table Voluntary Product Accessibility Template. Not Applicable
PLANTRONICS VPAT 14 Product: Wireless Hearing Aid Sub-Compatible (HAS-C) Headsets Summary Table Voluntary Product Accessibility Template Section 1194.21 Software Applications and Operating Systems Section
More informationIMAGE PROCESSING BASED LANGUAGE CONVERTER FOR DEAF AND DUMB
IMAGE PROCESSING BASED LANGUAGE CONVERTER FOR DEAF AND DUMB S.N.Boraste 1, K.J.Mahajan 2 1 PG Student, Department of Electronics and Telecommunication Engineering KCT s Late G. N. Sapkal College of Engineering,
More informationVoluntary Product Accessibility Template (VPAT)
Avaya Vantage TM Basic for Avaya Vantage TM Voluntary Product Accessibility Template (VPAT) Avaya Vantage TM Basic is a simple communications application for the Avaya Vantage TM device, offering basic
More informationB. COURSE DESCRIPTION
1 A. Department of Special Education SED 830: Survey of Education of the Deaf/Hard of Hearing 3 credit hours B. COURSE DESCRIPTION Prerequisite: SED 104 or instructor approval. Overview of the field of
More informationCommunication Skills Assessment
Communication Skills Assessment John Smith Prepared for whoever wants it Assessor: Roger C. Williams Filename: Test Instrument The Communication Skills Assessment assesses an individual s relative strengths
More informationCHARACTERISTICS OF STUDENTS WHO ARE: DEAF OR HARD OF HEARING
CHARACTERISTICS OF STUDENTS WHO ARE: DEAF OR HARD OF HEARING 1. In General: An estimated twenty one million Americans have some degree of hearing loss, mild to severe. Of the 60,000+ students identified
More informationWireless Emergency Communications Project
Wireless Emergency Communications Project NAS Workshop on Public Response to Alerts and Warnings on Mobile Devices April 13, 2010 The Rehabilitation Engineering Research Center for Wireless Technologies
More informationSpeech to Text Wireless Converter
Speech to Text Wireless Converter Kailas Puri 1, Vivek Ajage 2, Satyam Mali 3, Akhil Wasnik 4, Amey Naik 5 And Guided by Dr. Prof. M. S. Panse 6 1,2,3,4,5,6 Department of Electrical Engineering, Veermata
More informationHow can the Church accommodate its deaf or hearing impaired members?
Is YOUR church doing enough to accommodate persons who are deaf or hearing impaired? Did you know that according to the World Health Organization approximately 15% of the world s adult population is experiencing
More informationMultimedia courses generator for hearing impaired
Multimedia courses generator for hearing impaired Oussama El Ghoul and Mohamed Jemni Research Laboratory of Technologies of Information and Communication UTIC Ecole Supérieure des Sciences et Techniques
More information