|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sandrine Tornay and Mathew Magimai.-Doss
Communication languages convey information through the use of a set of symbols or units. Typically, this unit is word. When developing language technologies, as words in a language do not have the same prior probability, there may not be sufficient train...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yancong Zhu, Juan Zhang, Zhaoxi Zhang, Gina Clepper, Jingpeng Jia and Wei Liu
Developing a smart classroom can make the modern classroom more efficient and intelligent. Much research has been conducted pertaining to smart classrooms for hearing-impaired college students. However, there have been few significant breakthroughs in mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Akm Ashiquzzaman, Hyunmin Lee, Kwangki Kim, Hye-Young Kim, Jaehyung Park and Jinsul Kim
Current deep learning convolutional neural network (DCNN) -based hand gesture detectors with acute precision demand incredibly high-performance computing power. Although DCNN-based detectors are capable of accurate classification, the sheer computing pow...
ver más
|
|
|
|
|
|