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Using YOLOv5 Algorithm to Detect and Recognize American Sign Language
2021 International Conference on Information Technology (ICIT), 2021Sign language is a system of communication using visual gestures and signs, and is generally used by people who have speech or hearing difficulties. To make those people included in the verbal communication community it’s important to under-stand the ...
Tasnim Ferdous Dima, Md. Eleas Ahmed
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American Sign Language: The Phonological Base
Sign Language Studies, 1989This paper has the ambitious goal of outlining the phonological structures and processes we have analyzed in American Sign Language (ASL). In order to do this we have divided the paper into five parts. In section 1 we detail the types of sequential phenomena found in the production of individual signs, allowing us to argue that ASL signs are ...
Scott K. Liddell, Robert E. Johnson
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Morphology in American Sign Language [PDF]
Working paper ...
Bonnie Gough, Nancy Frishberg
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American Sign Language Recognition using Deep Learning and Computer Vision
2018 IEEE International Conference on Big Data (Big Data), 2018Speech impairment is a disability which affects an individuals ability to communicate using speech and hearing. People who are affected by this use other media of communication such as sign language.
Kshitij Bantupalli, Ying Xie
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Static Hand Gesture Recognition for American Sign Language using Deep Convolutional Neural Network
2020 IEEE Region 10 Symposium (TENSYMP), 2020One of the complicated issues of computer vision is the recognition of any sign languages. The deaf and the dumb people use these sign languages to communicate.
P. Das, Tanvir Ahmed, M. F. Ali
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American Sign Language Interpreter
2012 IEEE Fourth International Conference on Technology for Education, 2012There is currently an abundance of software in the market that is used to help teach people sign language. This software is very effective; however it is very difficult to know if you are making correct hand gestures. It is quite tedious to learn from the software hence making them less user friendly.
Ankita Bhosekar +3 more
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The Duration of Syllables in American Sign Language [PDF]
Data are presented for the duration of syllables in American Sign Language and for movement and hold components of those syllables. Measurements from 3072 syllables taken from four different samples of signing resulted in a grand mean of 293.7 msec. The different signing samples reflected different degrees of naturalness, and the means for each sample
Ronnie B. Wilbur, Susan Bobbitt Nolkn
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Metaphoricity in the Signs of American Sign Language
Metaphor and Symbol, 1999This article reports the results of two experiments on the judgment and interpretation of isolated signs in American Sign Language (ASL). Experiment 1 investigated the classification of ASL signs into three categories: arbitrary signs, iconic signs, and metaphorical signs.
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American sign language of the web
CHI '04 Extended Abstracts on Human Factors in Computing Systems, 2004The development of non-western character encodings has empowered linguistic communities all over the world to create their own on-line Webs. However, in the case of sign languages, which convey meaning by gestures moving in time and space, the static and textual nature of the WWW medium has, until now, continued to prevent the development of on-line ...
Jim Hardman +4 more
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