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Valentin Belissen, Annelies Braffort and Michèle Gouiffès
Sign Languages (SLs) are visual?gestural languages that have developed naturally in deaf communities. They are based on the use of lexical signs, that is, conventionalized units, as well as highly iconic structures, i.e., when the form of an utterance an...
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Angela C. Caliwag, Han-Jeong Hwang, Sang-Ho Kim and Wansu Lim
Sign language aids in overcoming the communication barrier between hearing-impaired individuals and those with normal hearing. However, not all individuals with normal hearing are skilled at using sign language. Consequently, deaf and hearing-impaired in...
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Amrutha K, Prabu P and Ramesh Chandra Poonia
Sign language is a natural, structured, and complete form of communication to exchange information. Non-verbal communicators, also referred to as hearing impaired and hard of hearing (HI&HH), consider sign language an elemental mode of communication ...
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Kevin Hosea Widjaya,Wirawan Istiono
Pág. 62 - 69
Human is a social being, where humans need to socialize with the other humans. One of the interactions that do by humans is speaking. When humans speaks, humans use a language because it?s one of the important roles in communicating, but some humans are ...
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Purushottam Sharma, Devesh Tulsian, Chaman Verma, Pratibha Sharma and Nancy Nancy
Language plays a vital role in the communication of ideas, thoughts, and information to others. Hearing-impaired people also understand our thoughts using a language known as sign language. Every country has a different sign language which is based on th...
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Ramesh M. Kagalkar,Shyamrao V Gumaste
Pág. pp. 92 - 112
Sign language is a main mode of communication for vocally disabled. This language use set of representation which is finger sign, expression or mixture of both to express their information among others. This system presents a novel approach for mobile ap...
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Sang-Ki Ko, Chang Jo Kim, Hyedong Jung and Choongsang Cho
We propose a sign language translation system based on human keypoint estimation. It is well-known that many problems in the field of computer vision require a massive dataset to train deep neural network models. The situation is even worse when it comes...
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Jennifer J. Paul, Kristin Snoddon
Pág. 1 - 27
Sign language rights for deaf children bring a unique perspective to bear in the fields of both disability rights and language planning. This is due to the lack of recognition in existing case law of the right to language in and of itself. Deaf children ...
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Jennifer J. Paul, Kristin Snoddon
Pág. 1 - 27
Sign language rights for deaf children bring a unique perspective to bear in the fields of both disability rights and language planning. This is due to the lack of recognition in existing case law of the right to language in and of itself. Deaf children ...
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Ricardo Moreno-Rodriguez, José Luis Lopez-Bastias, Miriam Diaz-Vega and Rosa Espada-Chavarria
Although educational breakout has been implemented in pre-university stages, there is little evidence in subjects related to history in postsecondary levels. The aim of this paper was to present the results obtained after implementing an educational brea...
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Vijayendra D. Avina, Md Amiruzzaman, Stefanie Amiruzzaman, Linh B. Ngo and M. Ali Akber Dewan
In this paper, we propose a framework to convert American Sign Language (ASL) to English and English to ASL. Within this framework, we use a deep learning model along with the rolling average prediction that captures image frames from videos and classifi...
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Diksha Kumari and Radhey Shyam Anand
The deaf and hearing-impaired community expresses their emotions, communicates with society, and enhances the interaction between humans and computers using sign language gestures. This work presents a strategy for efficient feature extraction that uses ...
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Kaustubh Mani Tripathi, Pooja Kamat, Shruti Patil, Ruchi Jayaswal, Swati Ahirrao and Ketan Kotecha
This research paper focuses on developing an effective gesture-to-text translation system using state-of-the-art computer vision techniques. The existing research on sign language translation has yet to utilize skin masking, edge detection, and feature e...
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Ayanabha Jana and Shridevi S. Krishnakumar
The proposed research deals with constructing a sign gesture recognition system to enable improved interaction between sign and non-sign users. With respect to this goal, five types of features are utilized?hand coordinates, convolutional features, convo...
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Shwetha V,Dr.Vijaya laxmi,Dhanin Anoop Asarpota,Himanshu Verma
A sizable population around the world has some form of hearing or speaking disability. This creates a communication barrier among them and the rest of the world. Sign language was introduced to bridge this gap. The objective is to design a glove that can...
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Qifan Xue, Xuanpeng Li, Dong Wang and Weigong Zhang
Sign language recognition (SLR) is a bridge linking the hearing impaired and the general public. Some SLR methods using wearable data gloves are not portable enough to provide daily sign language translation service, while visual SLR is more flexible to ...
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Angga Rahagiyanto, Achmad Basuki, Riyanto Sigit
Pág. 119 - 138
Myo Armband became an immersive technology to help deaf people for communication each other. The problem on Myo sensor is unstable clock rate. It causes the different length data for the same period even on the same gesture. This research proposes Moment...
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Miada A. Almasre and Hana Al-Nuaim
The objective of this research was to recognize the hand gestures of Arabic Sign Language (ArSL) words using two depth sensors. The researchers developed a model to examine 143 signs gestured by 10 users for 5 ArSL words (the dataset). The sensors captur...
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Miada A. Almasre and Hana Al-Nuaim
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Samir Abou El-Seoud,Islam Taj-Eddin,Ann Nosseir,Hosam El-Sofany,Nadine Abu Rumman
Pág. pp. 46 - 55
A handheld device system, such as cellular phone or a PDA, can be used in acquiring Sign Language (SL). The developed system uses graphic applications. The user uses the graphical system to view and to acquire knowledge about sign grammar and syntax base...
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