This paper presents a novel approach to fingerspelling recognition in real-time, utilizing a
two-dimensional Convolutional Neural Network (2D CNN). Existing recognition systems …

This paper presents a simulation system for differently abled people that utilizes the Long
Short-Term Memory (LSTM) algorithm and the Mediapipe Holistic Model (MHM). The system …

The study of sign language recognition has been a long-standing challenge. Nevertheless,
our society still has a considerable distance to go before we uncover a full resolution. For …

This research paper suggests a machine learning-based system designed to interpret sign
languages in real-time from a video feed to help deaf and hard of hearing individuals …

Hand gestures are an essential kind of nonverbal communication that let people engage
and be expressive with one another. As technology has progressed, hand gesture …

Handwritten characters and numerals are still challenging to read, despite decades of study
on offline Indic recapitulations. The characters' uncanny facial likeness and the Indic scripts' …

Sign language ismade up of hand gesture and it is amode of non-verbal communication
meaning to communicate without speaking. It is used by dumb and deafindividuals to …