Results 11 to 20 of about 41,243 (261)
Vision-Based American Sign Language Classification Approach via Deep Learning
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Hearing-impaired is the disability of partial or total hearing loss that causes a significant problem for communication with other people in society.
Nelly Elsayed
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Timelines and Temporal Pointing in Chinese Sign Language
Glossa, 2021 We argue that Chinese Sign Language (CSL) provides new insights into temporal anaphora, as well as new puzzles. Partee (1973) showed that temporal talk in English involves abstract anaphoric mechanisms akin to pronouns, although with a very different ...
Hao Lin +3 more
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Revisiting gradability in American Sign Language (ASL)
Glossa, 2023 This paper addresses gradability in American Sign Language (ASL). The literature has argued that languages may or may not introduce degree variables, i.e., there is cross-linguistic variation as to whether languages should be analyzed as degree- or ...
Christopher Kurz +3 more
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American Sign Language Recognition Combining with Bi-2DPCA and CNN [PDF]
Jisuanji gongcheng, 2021 The existing algorithms for American Sign Language(ASL) recognition are limited in the recognition accuracy, and require much time for model training.To address the problem, a Bayesian Optimization(BO)-based algorithm that combines Bidirectional Two ...
YANG Mingyu, YE Chunming
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Frontiers in Psychology, 2018 Considerable evidence now shows that all languages, signed and spoken, exhibit a significant amount of iconicity. We examined how the visual-gestural modality of signed languages facilitates iconicity for different kinds of lexical meanings compared to ...
Marcus Perlman +3 more
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RMUTL Engineering Journal, 2020 Most image classification is based on applying decision-making algorithms, in conjunction with image preprocessing, in order to extract distinctive features from the images and compute the most appropriate weights used in the decision making.
Chokemongkol Nadee, Krisda Yingkayun
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Analisis Perbandingan Algoritma Klasifikasi MLP dan CNN pada Dataset American Sign Language
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 People who have hearing loss (deafness) or speech impairment (hearing impairment) usually use sign language to communicate. One of the most basic and flexible sign languages is the Alphabet Sign Language to spell out the words you want to pronounce ...
Mohammad Farid Naufal +6 more
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Frontiers in Communication, 2021 Language is produced by bodies that evolved to fulfill a variety of functions, most of them non-communicative. Vestigial influences of adaptation for quadrupedal locomotion are still affecting bimanual actions, and have consequences on manual ...
Oksana Tkachman +3 more
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Fluency in American Sign Language [PDF]
Journal of Deaf Studies and Deaf Education, 1998 I used two experimental designs to investigate the perception of fluency by native Deaf signers. In experiment 1, seven native signers described the signing ability of other native signers judged to have a wide range of signing ability. The judges provided numerical ratings and descriptions of signing skill.
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Phonology Recognition in American Sign Language
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Inspired by recent developments in natural language processing, we propose a novel approach to sign language processing based on phonological properties validated by American Sign Language users. By taking advantage of datasets composed of phonological data and people speaking sign language, we use a pretrained deep model based on mesh reconstruction ...
Tavella, Federico +2 more
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