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 ...

Hearing-impaired people cannot communicate with normal people easily. Most people are not aware of sign language recognition. To support this, machine learning and CV can be used to create an impact ...

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 ...

When we think about breaking down communication barriers, we often focus on language translation apps or voice assistants. But for millions who use sign language, these tools have not quite bridged ...

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 ...