Results 11 to 20 of about 1,259,818 (372)
Computer Methods and Programs in Biomedicine Update, 2022 Background: Sign language is an essential means of communication for hearing-impaired individuals. Objective: We aimed to develop an American sign language recognition dataset and use it in the deep learning model which depends on neural networks to ...
Ahmed KASAPBAŞI +3 more
doaj +2 more sources
Fingerspelling Detection in American Sign Language [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Fingerspelling, in which words are signed letter by letter, is an important component of American Sign Language. Most previous work on automatic fingerspelling recognition has assumed that the boundaries of fingerspelling regions in signing videos are known beforehand.
Greg Shakhnarovich +3 more
openaire +5 more sources
Adapting the Assessing British Sign Language Development: Receptive Skills Test into American sign language [PDF]
, 2011 Signed languages continue to be a key element of deaf education programs that incorporate a bilingual approach to teaching and learning. In order to monitor the success of bilingual deaf education programs, and in particular to monitor the progress of ...
Anderson +6 more
core +3 more sources
American Sign Language Comprehension Test: A Tool for Sign Language Researchers [PDF]
Journal of Deaf Studies and Deaf Education, 2015 The American Sign Language Comprehension Test (ASL-CT) is a 30-item multiple-choice test that measures ASL receptive skills and is administered through a website. This article describes the development and psychometric properties of the test based on a sample of 80 college students including deaf native signers, hearing native signers, deaf non-native ...
Karen Emmorey +5 more
openaire +4 more sources
Two-Stream Mixed Convolutional Neural Network for American Sign Language Recognition. [PDF]
Sensors (Basel), 2022 The Convolutional Neural Network (CNN) has demonstrated excellent performance in image recognition and has brought new opportunities for sign language recognition.
Ma Y, Xu T, Kim K.
europepmc +2 more sources
Research into the information referents of deaf signers [PDF]
Communication & Society (Formerly Comunicación y Sociedad), 2012 The Information society is bringing about an increase in the number of information referents for deaf signers (those who use sign language). With the aim of exploring the ways most commonly used by deaf people to find out about current affairs, this ...
Jordi Serrat +1 more
doaj +2 more sources
Classifier Constructions as Procedural Referring Expressions in American Sign Language [PDF]
, 2015 The present paper comments on signs of American Sign Language in the perspective of relevance theory. The main claim is that classifiers encode procedural instructions to help the addressee pick out the intended referent for the procedural referring ...
Jones, Stephen
core +3 more sources
Dimensions of Iconicity in American Sign Language
Annual Meeting of the Berkeley Linguistics Society, 2014 Proceedings of the 2nd Annual Meeting of the Berkeley Linguistics Society (1976), pp.
Mark A. Mandel
openaire +4 more sources
American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation. [PDF]
Sensors (Basel), 2021 Sign language is designed to assist the deaf and hard of hearing community to convey messages and connect with society. Sign language recognition has been an important domain of research for a long time.
Shin J +3 more
europepmc +2 more sources
American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach
Sensors, 2018 Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
doaj +2 more sources