scholarly journals Automatic Sign Language Gesture Recognition using Prewitt & Morphological Dilation

2020 ◽  
Vol 10 (1) ◽  
pp. 334-339
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Sign Language ◽  
Facial Expressions ◽  
Gesture Recognition ◽  
Deaf People ◽  
Sign Languages ◽  
Actual Meaning ◽  
Prewitt Edge Detection ◽  
Filtration Technique

Sign languages have their own linguistic structure, grammar and characteristics, and are independent of the rules that govern spoken languages. They are visual languages that rely on hand gestures as well as on bodily and facial expressions. Sign languages in different countries are vastly different from one another, so enabling easy communication is important: not just to break the barrier between hearing and deaf individuals, but also between people who do not sign in the same language. In India, sign language plays an important role in the field of communication among dumb and deaf people. There are different signs associated for communication in every country as per their convenient gestures. Automatic sign language gesture recognition is an approach for recognizing gestures and converts it to its actual meaning and convey either through speech or text as per requirements. Here the system is based on Prewitt Edge Detection that possesses the gestures of sign language and helps to recognize and assign their meanings. The Prewitt is second order derivative that has been used in image processing and computer vision, in the form of edge detection or extraction algorithms where it creates gradient of horizontal and vertical magnitude. System also uses certain pre-processing filtration technique such as morphological dilation for better feature extraction.

scholarly journals Deaf Ni-Vanuatu and their signs: A sociolinguistic study

2021 ◽  
Author(s):  
◽  
Jacqueline Iseli
Keyword(s):  
Data Collection ◽  
Sign Language ◽  
Deaf People ◽  
Deaf Community ◽  
Sign Languages ◽  
Individual Variations ◽  
Field Methodology ◽  
Degree Of Similarity ◽  
Similarity Of Signs

<p>This thesis provides the first documentation and description of the signs created and used by deaf individuals in Vanuatu. The specific aims of this research were as follows: to establish the sociolinguistic context experienced by deaf people in Vanuatu; to identify the repertoire and characteristics of signs used by the deaf participants; to compare features of participants’ individual signs with the characteristics of home signs and emerging sign languages; and to consider the degree of similarity and potential similarity of signs between participants and how this reflects individuals’ opportunities for contact with other deaf people and signing interlocutors. The limitations of this study are that field methodology for data collection was developed in situ as conditions allowed. The sociolinguistic context for deaf Ni-Vanuatu confirms that language isolation leads to marginalisation from community and society. The study established that these home sign lexicons were limited in quantity and conceptual range, and that shared background knowledge was essential for comprehension. Overall, 22 handshapes were documented, and the predominant handshapes unmarked. Most participants preferred handling strategy for depicting signs. Some evidence of noun-verb distinction was noted in the repertoire of some participants. However, across this range of formational characteristics, results showed significant individual variations. Furthermore, multiple barriers have precluded development of a shared sign language and any form of deaf community.</p>

Sign languages to unfold the Universe

2021 ◽  
Author(s):  
Stefania Varano
Keyword(s):  
Sign Language ◽  
Hearing Impaired ◽  
Point Of View ◽  
Deaf People ◽  
Single Word ◽  
Natural Languages ◽  
Sign Languages ◽  
Italian Language ◽  
Main Medium ◽  
The Universe

&lt;p&gt;Sign languages &amp;#8203;&amp;#8203;arise from the need of communities of deaf people to communicate with each other and with others. Like all natural languages, they are tied to the traditions and cultures of the communities that invented and developed them. The sign language used in Italy is the Italian Sign Language, LIS.&lt;/p&gt; &lt;p&gt;The strong iconicity of LIS is very interesting from the point of view of communication and didactics of astronomy, also for the hearing impaired. The signs used for astronomical concepts and objects often express the meaning and nature of what is represented, much more than a single word in the Italian language does.&lt;/p&gt; &lt;p&gt;LIS is therefore effective not only for inclusive communication aimed at deaf people, but it can be effective for everyone, both in terms of equity and awareness of diversity and in terms of knowledge of astronomy and its link with culture and tradition.&lt;/p&gt; &lt;p&gt;We will present a set of videos published on EduINAF, the outreach and education online magazine of the Italian National Isntitute for Astrophysics, in which the LIS is the main medium of the storytelling. Each video has subtitles, in order to make the LIS understandable for all.&lt;/p&gt;

Multimedia Dictionary and Synthesis of Sign Language

2011 ◽  
pp. 268-281 ◽  
Author(s):  
Franc Solina ◽  
Slavko Krapez ◽  
Ales Jaklic ◽  
Vito Komac
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
The United States ◽  
Written Language ◽  
Deaf Children ◽  
Deaf People ◽  
Sign Languages ◽  
Proper Nouns ◽  
Basic Meaning ◽  
The World

Deaf people, as a marginal community, may have severe problems in communicating with hearing people. Usually, they have a lot of problems even with such—for hearing people—simple tasks as understanding the written language. However, deaf people are very skilled in using a sign language, which is their native language. A sign language is a set of signs or hand gestures. A gesture in a sign language equals a word in a written language. Similarly, a sentence in a written language equals a sequence of gestures in a sign language. In the distant past deaf people were discriminated and believed to be incapable of learning and thinking independently. Only after the year 1500 were the first attempts made to educate deaf children. An important breakthrough was the realization that hearing is not a prerequisite for understanding ideas. One of the most important early educators of the deaf and the first promoter of sign language was Charles Michel De L’Epée (1712-1789) in France. He founded the fist public school for deaf people. His teachings about sign language quickly spread all over the world. Like spoken languages, different sign languages and dialects evolved around the world. According to the National Association of the Deaf, the American Sign Language (ASL) is the third most frequently used language in the United States, after English and Spanish. ASL has more than 4,400 distinct signs. The Slovenian sign language (SSL), which is used in Slovenia and also serves as a case study sign language in this chapter, contains approximately 4,000 different gestures for common words. Signs require one or both hands for signing. Facial expressions which accompany signing are also important since they can modify the basic meaning of a hand gesture. To communicate proper nouns and obscure words, sign languages employ finger spelling. Since the majority of signing is with full words, signed conversation can proceed with the same pace as spoken conversation.

scholarly journals Sign, language, and gesture in the brain: Some comments

2017 ◽  
Vol 40 ◽  
Author(s):  
Ruth Campbell ◽  
Bencie Woll
Keyword(s):  
Sign Language ◽  
Deaf People ◽  
Developmental Research ◽  
Sign Languages ◽  
Neuroscience Research ◽  
Language Perception ◽  
Complex Picture ◽  
The Brain

AbstractIn contrast with two widely held and contradictory views – that sign languages of deaf people are “just gestures,” or that sign languages are “just like spoken languages” – the view from sign linguistics and developmental research in cognition presented by Goldin-Meadow & Brentari (G-M&B) indicates a more complex picture. We propose that neuroscience research suggests that a similar approach needs to be taken and offer some examples from research on the brain bases of sign language perception.

scholarly journals Signed languages and globalization

2011 ◽  
Vol 40 (4) ◽  
pp. 483-505 ◽  
Author(s):  
Anja Hiddinga ◽  
Onno Crasborn
Keyword(s):  
Sign Language ◽  
Language Contact ◽  
Deaf Culture ◽  
Deaf People ◽  
Sign Languages ◽  
The Core ◽  
Form Part ◽  
Dependent Form ◽  
Global Language

AbstractDeaf people who form part of a Deaf community communicate using a shared sign language. When meeting people from another language community, they can fall back on a flexible and highly context-dependent form of communication calledinternational sign, in which shared elements from their own sign languages and elements of shared spoken languages are combined with pantomimic elements. Together with the fact that there are few shared sign languages, this leads to a very different global language situation for deaf people as compared to the situation for spoken languages and hearing people as analyzed in de Swaan (2001). We argue that this very flexibility in communication and the resulting global communication patterns form the core of deaf culture and a key component of the characterization of deaf people as “visual people.” (Globalization, sign language, international sign, Deaf culture, language contact, multilingualism)*

scholarly journals An evaluation of real-time requirements for automatic sign language recognition using ANNs and HMMs - The LIBRAS use case

2013 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Ednaldo Brigante Pizzolato ◽  
Mauro dos Santos Anjo ◽  
Sebastian Feuerstack
Keyword(s):  
Real Time ◽  
Sign Language ◽  
Gesture Recognition ◽  
Large Set ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Sign Languages ◽  
Real Time System ◽  
Dynamic Gestures ◽  
Time Requirements

Sign languages are the natural way Deafs use to communicate with other people. They have their own formal semantic definitions and syntactic rules and are composed by a large set of gestures involving hands and head. Automatic recognition of sign languages (ARSL) tries to recognize the signs and translate them into a written language. ARSL is a challenging task as it involves background segmentation, hands and head posture modeling, recognition and tracking, temporal analysis and syntactic and semantic interpretation. Moreover, when real-time requirements are considered, this task becomes even more challenging. In this paper, we present a study of real time requirements of automatic sign language recognition of small sets of static and dynamic gestures of the Brazilian Sign Language (LIBRAS). For the task of static gesture recognition, we implemented a system that is able to work on small sub-sets of the alphabet - like A,E,I,O,U and B,C,F,L,V - reaching very high recognition rates. For the task of dynamic gesture recognition, we tested our system over a small set of LIBRAS words and collected the execution times. The aim was to gather knowledge regarding execution time of all the recognition processes (like segmentation, analysis and recognition itself) to evaluate the feasibility of building a real-time system to recognize small sets of both static and dynamic gestures. Our findings indicate that the bottleneck of our current architecture is the recognition phase.

scholarly journals HAND GESTURE RECOGNITION FOR INDONESIAN SIGN LANGUAGE INTERPRETER SYSTEM WITH MYO ARMBAND USING SUPPORT VECTOR MACHINE

2020 ◽  
Vol 7 (2) ◽  
pp. 164
Author(s):  
Aditiya Anwar ◽  
Achmad Basuki ◽  
Riyanto Sigit
Keyword(s):  
Support Vector Machine ◽  
Sign Language ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Support Vector ◽  
Hand Gesture ◽  
Deaf People ◽  
Hand Gestures ◽  
Moment Invariant ◽  
Myo Armband

<p><em>Hand gestures are the communication ways for the deaf people and the other. Each hand gesture has a different meaning.  In order to better communicate, we need an automatic translator who can recognize hand movements as a word or sentence in communicating with deaf people. </em><em>This paper proposes a system to recognize hand gestures based on Indonesian Sign Language Standard. This system uses Myo Armband as hand gesture sensors. Myo Armband has 21 sensors to express the hand gesture data. Recognition process uses a Support Vector Machine (SVM) to classify the hand gesture based on the dataset of Indonesian Sign Language Standard. SVM yields the accuracy of 86.59% to recognize hand gestures as sign language.</em></p><p><em><strong>Keywords</strong></em><em>: </em><em>Hand Gesture Recognition, Feature Extraction, Indonesian Sign Language, Myo Armband, Moment Invariant</em></p>

scholarly journals Pautas orientativas para la asistencia a la diversidad y la inclusión de personas sordas

2021 ◽  
Vol 2 (5) ◽  
pp. 6441-6452
Author(s):  
Roberto García Sánchez ◽  
Justo Pedro Hernández González
Keyword(s):  
Continuing Education ◽  
Sign Language ◽  
Cochlear Implants ◽  
Hearing Aids ◽  
Deaf People ◽  
Deaf Students ◽  
Sign Languages ◽  
Sign Language Interpreters ◽  
The World ◽  
The University

Comunidad  Sorda es aquella que participa de unos valores culturales y lingüísticos construidos en torno a la lengua de signos y a una concepción visual del mundo. Entre las personas sordas usuarias de la lengua de signos algunas aprendieron a signar en su infancia y otras siendo ya adultas; hay quienes son usuarias de audífonos o implantes cocleares y, entre ellas, hay quienes usan la lengua de signos y quienes no. También debemos mencionar a aquellas personas sordas que, a causa de un sistema educativo no inclusivo, tienen problemas de expresión y comprensión de textos escritos. Al igual que en el resto de la población, entre las personas sordas encontraremos niños, jóvenes, mayores, personas sordas con otra(s) discapacidad(es)... Todas y cada una de ellas con sus necesidades y demandas concretas. Es importante saber que, aun tratándose de un colectivo heterogéneo, todas las personas sordas, cualquiera que sea su tipo o grado de sordera, situación individual e independientemente de que sean o no usuarias de las lenguas de signos, comparten la necesidad de acceder a la comunicación e información del entorno sin barreras de ningún tipo. Por ese motivo es necesario desarrollar un servicio de orientación, asesoramiento y acción tutorial específico para el alumnado sordo que tenga en cuenta sus necesidades y dificultades y que evite cualquier tipo de discriminación o falta de accesibilidad al contenido universitario del tipo que sea. Por lo tanto, es necesario proporcionar este servicio con los recursos audiovisuales necesarios, intérpretes de lengua de signos española y formación continua a la comunidad universitaria. Es fundamental coordinarse con las asociaciones de personas sordas para cumplir los requisitos básicos que garanticen su inclusión, puesto que éstas son las que conocen mejor sus necesidades por la lucha de sus derechos, y orientar a la universidad para la consecución de dicha finalidad.   A Deaf Community is one that participates in cultural and linguistic values built around sign language and a visual conception of the world. Among the deaf people who used sign language, some learned to sign in their childhood and others when they were adults; there are those who use hearing aids or cochlear implants and, among them, there are those who use sign language and those who do not. We will also find deaf people who, because of a non-inclusive educational system, have problems of expression and comprehension of written texts. As in the rest of the population, among the deaf people we will find children, young people, elderly, deaf people with other disability(ies). . . Each and every one of them with their specific needs and demands. It is important to know that, even if it is a heterogeneous collective, all deaf people, whatever their type or degree of deafness, individual situation and regardless of whether or not they are users of sign languages, share the need to access the communication and information of the environment without barriers of any kind. For this reason it is necessary to develop a service of guidance, advice and specific tutorial action for deaf students that takes into account their needs and difficulties and avoids any type of discrimination or lack of accessibility to university content of any kind. Therefore, it is necessary to provide this service with the necessary audiovisual resources, Spanish sign language interpreters and continuing education to the university community. It is essential to coordinate with associations of deaf people to meet the basic requirements to ensure their inclusion, since they are the ones who best know their needs by fighting for their rights, and guide the university to achieve that goal.

Sign Language Recognition Using Image Processing

2017 ◽  
Vol 7 (8) ◽  
pp. 142 ◽  
Author(s):  
Kamal Preet Kour ◽  
Lini Mathew
Keyword(s):  
Image Processing ◽  
Sign Language ◽  
Feature Detection ◽  
Hand Gesture ◽  
Normal Person ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Major Drawback ◽  
Sign Languages ◽  
System Feature

One of the major drawback of our society is the barrier that is created between disabled or handicapped persons and the normal person. Communication is the only medium by which we can share our thoughts or convey the message but for a person with disability (deaf and dumb) faces difficulty in communication with normal person. For many deaf and dumb people , sign language is the basic means of communication. Sign language recognition (SLR) aims to interpret sign languages automatically by a computer in order to help the deaf communicate with hearing society conveniently.  Our aim is to design a system  to help the person who trained the hearing impaired to communicate with the rest of the world using sign language or hand gesture recognition techniques. In this system, feature detection and feature extraction of hand gesture is done with the help of SURF algorithm using image processing. All this work is done using MATLAB software. With the help of this algorithm, a person can easily trained a deaf and dumb.

"WHEREVER WE'VE FOUND DEAF PEOPLE, THERE'S SIGN"

PEDIATRICS ◽  
1994 ◽  
Vol 93 (1) ◽  
pp. A62-A62
Keyword(s):  
Sign Language ◽  
Spoken Language ◽  
Deaf People ◽  
Sign Languages

Just as no one can pinpoint the origins of spoken language in prehistory, the roots of sign language remain hidden from view. What linguists do know is that sign languages have sprung up independently in many different places. Signing probably began with simple gestures, but then evolved into a true language with structured grammar. "In every place we've ever found deaf people, there's sign," says anthropological linguist Bob Johnson. But it's not the same language. "I went to a Mayan village where, out of 400 people, 13 were deaf, and they had their own Mayan Sign - I'd guess it's been maintained for thousands of years." Today at least 50 native sign languages are "spoken" worldwide, all mutually incomprehensible, from British and Israeli Sign to Chinese Sign.

Sign in / Sign up

Export Citation Format

Share Document