Results 101 to 110 of about 15,648,076 (214)
American Sign Language Detection [PDF]
, 2023 This research explores the application of machine learning techniques to detect American Sign Language(ASL). American Sign Language(ASL) is a complex form of communication as it involves the use of gestures, facial expressions, and body movements to ...
Patel, Milan
core
O ritmo na poesia em língua de sinais [PDF]
, 2014 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Linguística, Florianópolis, 2014.Abstract : This dissertation sought to identify elements in sign language poetry that would ...
Klamt, Marilyn Mafra
core
Authentic Voices, Authentic Encounters: Cripping the University Through American Sign Language
Disability Studies Quarterly, 2018 Discussions on disability justice within the university have centered disabled students but leaves us with questions about disability justice for the disabled scholar and disabled communities affiliated with universities through the lens of signed ...
Octavian Robinson, Jonathan Henner
doaj +1 more source
Multimedia Dictionary and Synthesis of Sign Language [PDF]
, 2001 We developed a multimedia dictionary of the Slovenian Sign Language (SSL) which consists of words, illustrations and video clips. We describe the structure of the dictionary and give examples of its user interface.
Krapež, Slavko +3 more
core +1 more source
Cognitive Studies on Portuguese Sign Language (LGP): a work in progress
Cadernos de Saúde, 2009 The main goal of present paper is to present the research lines that we are presently following in the study of Portuguese Sign Language (LGP), including the replication of previous studies in other sign languages (such as a working memory study) but ...
Maria Vãnia Silva Nunes +3 more
doaj +1 more source
Utilising transformers for American Sign Language fingerspelling recognition
This paper presents a machine learning approach to American Sign Language (ASL) fingerspelling recognition using Transformer models. Addressing the challenges of high variability in hand shapes, movement, and signing speed, the study utilises the new ASL
Souag, A., Pinnington, Jamie, Azhar, H.
core +1 more source
STGAN-Q-Mix: Coordinated Spatiotemporal Learning for Polyglot Sign Language Interpretation
IEEE Open Journal of the Computer SocietyMultilingual sign language interpretation systems struggle with gradient instability, language-specific overfitting, and inefficient coordination in decentralized multi-agent environments.
Harapriya Kar, P Viswanathan
doaj +1 more source
Frontiers in EducationIntroductionTeaching English as a foreign language (EFL) to Deaf and hard-of-hearing (DHH) students is regarded as a major challenge.The aim of the study is to examine the perspectives of DHH students regarding their experiences in the EFL classroom ...
Katharina Urbann +3 more
doaj +1 more source
Interactive learning of natural sign language with radar
IET Radar, Sonar & NavigationOver the past decade, there have been great advancements in radio frequency sensor technology for human–computer interaction applications, such as gesture recognition, and human activity recognition more broadly.
Emre Kurtoğlu +5 more
doaj +1 more source
AMERICAN SIGN LANGUAGE FINGERSPELLING USING HYBRID DISCRETE WAVELET TRANSFORM-GABOR FILTER AND CONVOLUTIONAL NEURAL NETWORK [PDF]
Journal of Engineering Science and Technology, 2018 American Sign Language (ASL) is widely used for communication by deaf and mute people. In fingerspelling, the letters of the writing system are represented using only hands.
VIRENDER RANGA +2 more
doaj