Results 51 to 60 of about 1,259,818 (372)
Italian National Conference on Sensors, 2020 In this work, we show that a late fusion approach to multimodality in sign language recognition improves the overall ability of the model in comparison to the singular approaches of image classification (88.14%) and Leap Motion data classification (72.73%
Jordan J. Bird, Anikó Ekárt, D. Faria
semanticscholar +1 more source
, 2000 Previously in Futures, I discussed a word that we use to form an abstract futures concept: “millennium” [1]. In its most common current usage, “millennium” is an example of a word that provides, and one might even say controls, a future orientation for ...
Junker, Kirk W.
core +1 more source
Hand Gesture Recognition of Static Letters American Sign Language (ASL) Using Deep Learning
Engineering and Technology Journal, 2020 An American Sign Language (ASL) is a complex language. It is depending on the special gesture stander of marks. These marks are represented by hands with assistance by facial expression and body posture. ASL is the main communication language of deaf and
Abdulwahab A. Abdulhussein, F. A. Raheem
semanticscholar +1 more source
Historical Linguistics of Sign Languages: Progress and Problems
Frontiers in Psychology, 2022 In contrast to scholars and signers in the nineteenth century, William Stokoe conceived of American Sign Language (ASL) as a unique linguistic tradition with roots in nineteenth-century langue des signes française, a conception that is apparent in his ...
Justin M. Power
doaj +1 more source
IEEE AccessThis research introduces a foundational framework aimed at bridging the communication gap between American Sign Language (ASL) and Indian Sign Language (ISL) by translating alphabet-level gestures. The proposed system employs a hybrid deep learning model
Malay Kumar +4 more
doaj +1 more source
A Lexical Frequency Analysis of Irish Sign Language
Teanga: The Journal of the Irish Association for Applied Linguistics, 2020 Word frequency has a significant impact on language acquisition and fluency. It is often a point of reference for the teaching and assessing of a language and indeed, as a control for psycholinguistic studies. This paper presents the results of the first
Robert G Smith, Markus Hofmann
doaj +1 more source
Cadernos de LinguísticaIn the early decades of the 19th century, the deaf population in the eastern US and Canada was distributed across a vast area. After the 1817 founding of the American School for the Deaf (ASD) in Hartford, CT and the subsequent establishment of schools ...
Justin M. Power, Richard P. Meier
doaj +1 more source
Hand Gesture Recognition in Indian Sign Language Using Deep Learning
Engineering Proceedings, 2023 Sign languages are important for the deaf and hard-of-hearing communities, as they provide a means of communication and expression. However, many people outside of the deaf community are not familiar with sign languages, which can lead to communication ...
Harsh Kumar Vashisth +4 more
doaj +1 more source
A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images [PDF]
, 2017 Sign language is used by approximately 70 million1 people throughout the world, and an automatic tool for interpreting it could make a major impact on communication between those who use it and those who may not understand it.
Ameen, SA, Vadera, S
core +2 more sources
Sign lowering and phonetic reduction in American Sign Language [PDF]
Journal of Phonetics, 2010 This study examines sign lowering as a form of phonetic reduction in American Sign Language. Phonetic reduction occurs in the course of normal language production, when instead of producing a carefully articulated form of a word, the language user produces a less clearly articulated form. When signs are produced in context by native signers, they often
Claude E. Mauk, Martha E. Tyrone
openaire +3 more sources