A linguistics professor at UNM, is helping shape the future of sign language research, using unique teaching methods that ...
ASL Citizen is the first crowdsourced isolated sign language video dataset. The dataset contains about 84k video recordings of 2.7k isolated signs from American Sign Language (ASL), and is about four ...
This repository provides the official implementation of the paper: BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition Fei Long*, Xiaoou Li*, Jiaming Lv*, Haoyuan Yang, ...
Abstract: Communication barriers between hard-of-hearing and hearing individuals can be mitigated through advancements in sign language recognition (SLR) systems. These SLR systems can also improve ...
The City of Boston’s new data dashboard tracks on-demand interpretation services. IMAGE: CITY OF BOSTON As the city of Boston continues its efforts to expand access to equitable language services ...
Abstract: Sign language recognition (SLR) involves translating visual gestures into meaningful text or speech, bridging the communication gap between signers and non-signers. However, real-time ...
While the programming of microcontroller-based embeddable devices typically is the realm of the C language, such devices are now finding their way into the classroom for CS education, even at the ...
This project aims to create a deep learning model from scratch using PyTorch to be able to classify images of the American Sign Language (ASL) alphabet. The goal is for it to be able to accurately and ...
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