scholarly journals Adjusting the Margins: Harnessing the Foundations of American Sign Language for VR

Frameless ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 29-36
Author(s):  
Luane Davis Haggerty ◽  
Keyword(s):  
New York ◽  
American Sign Language ◽  
Sign Language ◽  
Performance Support ◽  
Movie Industry ◽  
American Sign ◽  
Verbal Language ◽  
Performance Technique ◽  
Movement Study ◽  
Historical Fact

Del-Sign is a physical approach to acting that uses elements of Francois Delsarte mime techniques with the foundations of American Sign Language. This acting and presentational technique uses cross-cultural physical communication as a way to deepen an actors’ performance, support a presenter’s lecture, or can be used as a format from which to create animations that communicate with or without verbal language. It is a historical fact that Deaf actors using the foundations of Sign Language influenced the movie industry (Higgins). In silent movie infancy Deaf performers were brought in as consultants to ensure that the gestures, relational positions, facial expression, camera angles and body language of the actors could have the strongest impact and the clearest meaning (Albert Ballin). At that time the standard acting technique was a codified movement study begun and refined by Francious Deslarte (1870-1890s Paris, 1880-1915 Steele MacKaye New York). By blending these two structures we find that an outline is gained for creating movement, posture and gesture (MPG) that easily communicates meaning. The applications of this performance technique are many and varied. From the obvious acting for stage application to lawyers, teachers, priests or other presenters. Del-Sign can now bridge into adding technology to the mix allowing for this approach to be used when creating characters and movement for VR, AR or MR.

Comparison of American Sign Language Use Identification using Multi-Class SVM Classification, Backpropagation Neural Network, K - Nearest Neighbor and Naive Bayes

Teknik ◽  
2021 ◽  
Vol 42 (2) ◽  
pp. 137-148
Author(s):  
Vincentius Abdi Gunawan ◽  
Leonardus Sandy Ade Putra
Keyword(s):  
Neural Network ◽  
American Sign Language ◽  
Sign Language ◽  
Nearest Neighbor ◽  
American Sign ◽  
Classification Methods ◽  
K Nearest Neighbor ◽  
Backpropagation Neural Network ◽  
Svm Classification ◽  
Verbal Language

Communication is essential in conveying information from one individual to another. However, not all individuals in the world can communicate verbally. According to WHO, deafness is a hearing loss that affects 466 million people globally, and 34 million are children. So it is necessary to have a non-verbal language learning method for someone who has hearing problems. The purpose of this study is to build a system that can identify non-verbal language so that it can be easily understood in real-time. A high success rate in the system needs a proper method to be applied in the system, such as machine learning supported by wavelet feature extraction and different classification methods in image processing. Machine learning was applied in the system because of its ability to recognize and compare the classification results in four different methods. The four classifications used to compare the hand gesture recognition from American Sign Language are the Multi-Class SVM classification, Backpropagation Neural Network Backpropagation, K - Nearest Neighbor (K-NN), and Naïve Bayes. The simulation test of the four classification methods that have been carried out obtained success rates of 99.3%, 98.28%, 97.7%, and 95.98%, respectively. So it can be concluded that the classification method using the Multi-Class SVM has the highest success rate in the introduction of American Sign Language, which reaches 99.3%. The whole system is designed and tested using MATLAB as supporting software and data processing.

Creating an Interactive Light Studio for the American Sign Language and English Lower School

2011 ◽  
Author(s):  
Melody Baglione ◽  
Nicholas Wong ◽  
Hannah Clevenson ◽  
Bridget O’Meara ◽  
James Baker
Keyword(s):  
New York ◽  
American Sign Language ◽  
Sign Language ◽  
Engineering Students ◽  
Kindergarten Students ◽  
American Sign ◽  
Science And Art ◽  
Diverse Student ◽  
Diverse Student Population

The Cooper Union for the Advancement of Science and Art created an Interactive Light Studio for pre-kindergarten students at The American Sign Language and English Lower School (P.S. 347) in New York City. Specific goals included designing a space for science exploration and creating ways for both deaf and hearing students to explore light and sound. Deaf and hearing impaired students, in particular, benefit from the design of a sound-to-light installation that uses microphones to provide visual feedback. Another installation includes a network of circuits, which imitate the interaction of fireflies when placed in various configurations by the children. The Interactive Light Studio promotes science to young children and engages a diverse student population in science and engineering. The project offers undergraduate engineering students an opportunity to improve their technical and professional skills and develop a broader appreciation of the role of engineers in bettering society.

Developing Installations and Activities for an Interactive Light Studio at the American Sign Language and English Lower School

2012 ◽  
Author(s):  
Melody Baglione ◽  
Dale Short ◽  
Caitlin Correll ◽  
David Tan
Keyword(s):  
New York ◽  
American Sign Language ◽  
Sign Language ◽  
Computer Software ◽  
Kindergarten Students ◽  
American Sign ◽  
Educational Mission ◽  
Projection System ◽  
School Year ◽  
Science And Art

Students from The Cooper Union for the Advancement of Science and Art created new installations and activities for an Interactive Light Studio for pre-kindergarten students at The American Sign Language and English Lower School (P.S. 347) in New York City. The studio creates ways for both deaf and hearing students to explore light and sound while simultaneously promoting science and technology to students at a young age. Improvements to the studio in the 2011–12 school year strove to further the educational mission of the project while introducing new and exciting interactive multimedia installations. A digital projection system was created using easily assessable sensors, electronics, and open-source computer software creating an interactive play and learning environment that encourages self-driven discovery. The project engages young children, including minorities, girls, and disabled children, in active science learning while providing Cooper Union students with an opportunity to work on a real world project in their community.

Spatial and temporal dynamics of lexico-semantic processing in American Sign Language

2011 ◽  
Author(s):  
M. Leonard ◽  
N. Ferjan Ramirez ◽  
C. Torres ◽  
M. Hatrak ◽  
R. Mayberry ◽  
...  
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Semantic Processing ◽  
Temporal Dynamics ◽  
American Sign ◽  
Spatial And Temporal Dynamics

Patient Health Questionnaire-9--American Sign Language Version

2018 ◽  
Author(s):  
Leslie Pertz ◽  
Missy Plegue ◽  
Kathleen Diehl ◽  
Philip Zazove ◽  
Michael McKee
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Patient Health Questionnaire ◽  
American Sign ◽  
Health Questionnaire ◽  
Language Version ◽  
Patient Health

The American Sign Language/English Studies Project: A Progress Report

1988 ◽  
Vol 133 (5) ◽  
pp. 330-335 ◽  
Author(s):  
Richard L. Brodesky ◽  
Helene Cohen
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Progress Report ◽  
American Sign ◽  
English Studies

American Sign Language and the Liberal Education

1988 ◽  
Vol 1059 (1) ◽  
pp. 109-113 ◽  
Author(s):  
Paul G. Chapin
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Liberal Education ◽  
American Sign

scholarly journals Systematic Literature Review: American Sign Language Translator

2021 ◽  
Vol 179 ◽  
pp. 541-549
Author(s):  
Andra Ardiansyah ◽  
Brandon Hitoyoshi ◽  
Mario Halim ◽  
Novita Hanafiah ◽  
Aswin Wibisurya
Keyword(s):  
Literature Review ◽  
American Sign Language ◽  
Sign Language ◽  
Systematic Literature Review ◽  
American Sign
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