Sign Language Recognition, Generation, and Translation-Reference-Cited by-同舟云学术

Sign Language Recognition, Generation, and Translation

Published:2019-10-24 Issue: Volume: Page:
ISSN:
Container-title:The 21st International ACM SIGACCESS Conference on Computers and Accessibility
language:
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Author:

Bragg Danielle¹,Koller Oscar²,Bellard Mary³,Berke Larwan⁴,Boudreault Patrick⁵,Braffort Annelies⁶,Caselli Naomi⁷,Huenerfauth Matt⁴,Kacorri Hernisa⁸,Verhoef Tessa⁹,Vogler Christian⁵,Ringel Morris Meredith¹⁰

Affiliation:

1. Microsoft Research, Cambridge, MA, USA

2. Microsoft, Munich, Germany

3. Microsoft, Redmond, WA, USA

4. Rochester Institute of Technology, Rochester, NY, USA

5. Gallaudet University, Washington, DC, USA

6. Paris-Saclay University, Orsay, France

7. Boston University, Boston, MA, USA

8. University of Maryland, College Park, MD, USA

9. Leiden University, Leiden, Netherlands

10. Microsoft Research, Redmond, WA, USA

Funder

National Institutes of Health

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3308561.3353774

Reference124 articles.

1. Nicoletta Adamo-Villani and Ronnie B. Wilbur. 2015. ASL-Pro: American Sign Language Animation with Prosodic Elements. In Universal Access in Human-Computer Interaction. Access to Interaction Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing Cham 307--318. Nicoletta Adamo-Villani and Ronnie B. Wilbur. 2015. ASL-Pro: American Sign Language Animation with Prosodic Elements. In Universal Access in Human-Computer Interaction. Access to Interaction Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing Cham 307--318.

2. Review in Sign Language Recognition Systems

3. Building an Interactive E-Learning Tool for Deaf Children:Interaction Design Process Framework

4. Convention on the Rights of Persons with Disabilities;General Assembly UN;GA Res,2006

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