The chief data reporter for the Financial Times discusses how he considers the use of text, color, and annotation to aid visual storytelling through charts and graphics.

Welcome to Sign Language Recognition for Deaf and Dumb — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community. This project aims to ...

American Sign Language (ASL) recognition systems often struggle with accuracy due to similar gestures, poor image quality and inconsistent lighting. To address this, researchers developed a system ...

A research team improved the AI recognition accuracy of word-level sign language recognition by adding data such as the signer's hand and facial expressions, as well as skeletal information ...

How the System Actually Works The process is more sophisticated than it might seem at first glance. Here is what happens behind the scenes: Hand Detection Stage When you make a sign, MediaPipe first ...

A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand ...

Effective communication is paramount for the inclusion of deaf individuals in society. However, persistent communication barriers due to limited Sign Language (SL) knowledge hinder their full ...

Although transfer learning has been successful in various visual recognition tasks, its application to American Sign Language (ASL) recognition remains relatively unexplored. This research showcases ...

Keywords: machine learning, sign language recognition, CNN, sign language, American Sign Language (ASL), Python Citation: Orovwode H, Ibukun O and Abubakar JA (2024) A machine learning-driven web ...

The primary goal of Sign Language Production (SLP) is to create sign avatars that resemble humans using text inputs. The standard procedure for SLP methods based on deep learning involves several ...