Project Grant 2212302
- 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...
- The National Science Foundation (NSF) awarded a $208,058 Project Grant to Trustees of Boston University to conduct collaborative research on quantifying sign reduction in sign language using human pose estimation. The research project, funded through the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), investigates phonetic variation in signed languages by analyzing patterns of sign articulation. The researchers leverage computer vision techniques to extract anatomical...
- 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...
- This project grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $149,999 to Gallaudet University to study American Sign Language usage. The university will collaborate with deaf researchers to analyze instances of "what" signs in a large sample of American Sign Language videos posted online. Through this analysis, the project aims to contribute to understanding...
- This $401,324 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant will fund a 5-year project led by the Research Foundation for the State University of New York (RF SUNY) to develop an innovative American Sign Language (ASL) learning platform using wearable devices integrated with artificial intelligence (AI). The key objectives are to: 1) design wearable devices for...
- 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 $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...
- The National Science Foundation (NSF) awarded a $549,999 Project Grant under the Computer and Information Science and Engineering (CISE) federal grant program to Georgia Tech Research Corporation. The award, effective from May 1, 2025 to April 30, 2027, aims to create a framework for mobile device developers to use on-device sign language recognition to develop educational software for deaf children and their hearing parents. The project will develop educational software, tools, datasets, and...
This $405,106 National Science Foundation project grant will fund the development of linguistically-driven sign recognition technologies for American Sign Language (ASL) videos. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the Trustees of Boston University will receive funding from August 2022 through July 2025. The project aims to advance sign recognition capabilities from isolated signs to continuous signing videos. Key deliverables include novel machine learning techniques for: 1) segmenting continuous signing videos into distinct sign types; 2) segmenting individual signs; and 3) recognizing segmented signs based on linguistic constraints and coarticulation effects. The research builds on existing ASL video corpora to develop an end-to-end model incorporating sign type detection, segmentation, and type-specific recognition strategies. Outcomes are expected to support ASL learning tools, translation technologies, and sign search capabilities with broader applications to other signed languages. All data and methods will be publicly shared to advance related research fields.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $405.1k | 8/4/22 |