Results 41 to 50 of about 5,776,197 (400)
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition
IEEE transactions on multimedia, 2021 In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted. By implementing the most recent deep neural network methods in this field, a thorough evaluation on multiple publicly ...
Nikolaos Adaloglou +9 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1962-1973, December 2022., 2022 Abstract Objectives Early‐ and late‐onset Alzheimer's disease (EOAD and LOAD) share the same neuropathological traits but show distinct cognitive features. We aimed to explore baseline and longitudinal outcomes of global and domain‐specific cognitive function in a well characterized cohort of patients with a biomarker‐based diagnosis.
Adrià Tort‐Merino +16 more
wiley +1 more source
Production and Comprehension of Prosodic Markers in Sign Language Imperatives
Frontiers in Psychology, 2018 In signed and spoken language sentences, imperative mood and the corresponding speech acts such as for instance, command, permission or advice, can be distinguished by morphosyntactic structures, but also solely by prosodic cues, which are the focus of ...
Diane Brentari +5 more
doaj +1 more source
Inclusion and Deaf and Hard of Hearing Students: Finding Asylum in the LRE
Education Sciences, 2022 The movement towards inclusive public education for deaf and hard of hearing children (DHH) has steadily gathered momentum during the last fifty years.
Julia A. Silvestri, Maria C. Hartman
doaj +1 more source
Figure–Ground Spatial Relationships in Finnish Sign Language Discourse
Open Linguistics, 2020 This study is about expressing spatial relationships between Figure and Ground in Finnish Sign Language discourse and shows that the variation in this expression is primarily discourse dependent.
De Weerdt Danny
doaj +1 more source
Languages, 2022 The emergence of sign language is of special interest because sign languages are the only human languages that can emerge de novo at any time [...]
Wendy Sandler +2 more
doaj +1 more source
Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues
IEEE Access, 2021 People with hearing impairments are found worldwide; therefore, the development of effective local level sign language recognition (SLR) tools is essential.
Muhammad Al-Qurishi +2 more
semanticscholar +1 more source
Synchronizing eye tracking and optical motion capture: How to bring them together
Journal of Eye Movement Research, 2018 Both eye tracking and motion capture technologies are nowadays frequently used in human sciences, although both technologies are usually used separately.
Birgitta Burger +2 more
doaj +1 more source
Deaf children need language, not (just) speech [PDF]
, 2019 Deaf and Hard of Hearing (DHH) children need to master at least one language (spoken or signed) to reach their full potential. Providing access to a natural sign language supports this goal.
Caselli, Naomi +2 more
core +1 more source
Sign Language Production: A Review [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Sign Language is the dominant yet non-primary form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the hearing-impaired and the hearing communities, building a robust system ...
Razieh Rastgoo +3 more
semanticscholar +1 more source