This $239,973 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the development of a new artificial intelligence-based tool to improve collaborative learning experiences and outcomes for deaf students in university-level science courses. The project aims to address challenges around the lack of standard American Sign Language (ASL) terminology for many scientific concepts, which can hinder deaf...
This $260,027 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the development of a new artificial intelligence tool designed to improve collaborative learning experiences for deaf students in university-level science courses. The project aims to address challenges around the lack of standardized American Sign Language (ASL) signs for many scientific concepts, which can hinder deaf students'...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $174,999 to Gallaudet University to develop principled methods for studying and designing American Sign Language (ASL)-based intelligent personal assistants (IPAs) that enable deaf ASL users to interact with computers. The project aims to conduct experiments with deaf users to understand how well ASL-based IPA interfaces that recognize limited...
This National Science Foundation Project Grant of $628,966 will fund research from August 2022 to July 2025 to develop technologies for recognizing American Sign Language (ASL) from continuous signing videos. The award was made under the Computer and Information Science and Engineering program (CFDA 47.070), which supports research and education in computing and information sciences. The grantee, Rutgers University, and its partners will create a novel machine learning approach with three key...
This $165,014 National Science Foundation project grant will fund the development of linguistically-driven sign recognition technologies from continuous American Sign Language (ASL) signing videos. The Rochester Institute of Technology will receive funding under the Computer and Information Science and Engineering program (CFDA 47.070) to advance sign recognition techniques for isolated citations to segmented signs within sentences. The research will create an end-to-end machine learning...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program grant (CFDA 47.070) for $549,999 awarded to Georgia Tech Research Corporation will develop a framework to enable the rapid creation of educational software for sign language learning, targeting both American Sign Language (ASL) and Indian Sign Language (ISL). The key products to be delivered include: Robust datasets of ASL and ISL use, including fingerspelling, words, and phrases, to support...
Rutgers, The State University was awarded a $750,000 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop artificial intelligence-based tools to enhance access and opportunities for deaf and hard-of-hearing individuals. Specifically, the grant will fund development of tools for privacy protection for American Sign Language video communication and video search-by-example for accessing multimedia digital...
The National Science Foundation (NSF) awarded a $395,017 Project Grant under the STEM Education (CFDA 47.076) program to Gallaudet University to develop an artificial intelligence tool designed to revolutionize collaborative learning for deaf students in science. The project will use augmented reality, signed animations, and sign recognition technology to provide real-time information about the signs used in university biology classroom conversations, helping to establish common ground and...
This National Science Foundation project grant of $149,999 supports research on American Sign Language grammar through 2026. Funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the collaborative project will analyze usage of specific ASL signs in online videos to contribute to understanding ASL structure. It will establish best practices for accessible research using internet data and increase participation of deaf linguists. Specifically, researchers will collect...
This $150,000 National Science Foundation project grant supports research on American Sign Language usage and grammar through analysis of online video data. Funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the collaborative project between The University of New Mexico and deaf researchers aims to 1) contribute to understanding ASL grammar patterns, 2) establish best practices for analyzing internet video data, and 3) increase deaf participation in linguistic...