Results 231 to 240 of about 133,940 (265)
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Sign language interfaces

Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93, 1993
This panel will start to build the bridge between behavioral scientists who know deaf communities worldwide, their languages and cultures, and experts in technical disciplines relating to computers and human interfaces.
Nancy J. Frishberg   +4 more
openaire   +1 more source

Sign language subtitling

ACM SIGGRAPH 2005 Educators program on - SIGGRAPH '05, 2005
The object of this paper is the development of a new method of sign language subtitling for motion pictures aimed at deaf children who cannot read English yet and can communicate only via signs. The method is based on the recently introduced concept of "semantroid" (an avatar limited to head and hands) and on the implementation of a new scrolling ...
Nicoletta Adamo-Villani, Gerardo Beni
openaire   +1 more source

PALILALIA IN SIGN LANGUAGE

Neurology, 2008
Sign languages, which use the hands and arms as articulators, are the natural languages of deaf people. Research indicates that sign, like speech, can break down at the level of motor control, in the context of a movement disorder such as Parkinson disease (PD).1 This article describes the first known case of a deaf sign language user with progressive ...
Martha E, Tyrone, Bencie, Woll
openaire   +2 more sources

Sign language recognition

2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016
This paper presents a novel system to aid in communicating with those having vocal and hearing disabilities. It discusses an improved method for sign language recognition and conversion of speech to signs. The algorithm devised is capable of extracting signs from video sequences under minimally cluttered and dynamic background using skin color ...
Anup Kumar   +2 more
openaire   +1 more source

Visual similarity in sign language

2008 IEEE 24th International Conference on Data Engineering Workshop, 2008
In this paper, we present an algorithm for evaluating the similarity of pairs of signs used in sign language. The proposed algorithm is based on the visual similarity on the sign and compares sequences of static positions of the signing person. The algorithm does not rely on any particular way of obtaining necessary geometric form of signs.
Jan Ulrych, Michal Kopecky
openaire   +1 more source

Sign Language Recognition: A Deep Survey

Expert Systems With Applications, 2021
Razieh Rastgoo   +2 more
exaly  

Sign Language Recognition for Indian Sign Language

2023
Vidyanand Mishra   +4 more
openaire   +1 more source

SignNet II: A Transformer-Based Two-Way Sign Language Translation Model

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Lipisha Chaudhary   +2 more
exaly  

KArSL

ACM Transactions on Asian and Low-Resource Language Information Processing, 2021
Hamzah Luqman   +2 more
exaly  

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