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 ...

Using artificial intelligence to automatically translate the signs into words, known as word-level sign language recognition, has now gained a boost in accuracy through the work of an Osaka ...

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 ...

Sign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between hearing impaired and non-hearing impaired communities, surpassing traditional ...

Sign languages are visual languages which convey information by signers’ handshape, facial expression, body movement, and so forth. Due to the inherent restriction of combinations of these visual ...

Thus, the proposed framework coupling ST-GCNs with MC-LSTMs for multi-articulatory temporal modeling can provide insights into the contribution of each visual Sign Language (SL) cue to recognition ...