Action Recognition With American Sign Languag...

Action Recognition With American Sign Language Using Deep Learning

Author Name : Mohammed Maqdoom Jahagirdar, Md Naveed Uddin, Mohd Yousuf, Dr. Mohammed Jameel Hashmi

DOI: https://doi.org/10.56025/IJARESM.2024.12062439

ABSTRACT To interact with one another, we humans need a means of communication." Especially abled people", those with speech or hail diseases," Mute" and" Deaf" people, are always reliant on some form of visual communication. People who may not have visual or hail impairments may have difficulty communicating with those who do. To achieve this two- way communication between a person with disabilities and a normal one, a system that can restate hand gestures into text and speech needs to be developed. Sign language is one of the oldest and most natural forms of communication. though, due to the limited number of people who know sign language, finding interpreters can be a tough job. To address this gap, we've developed a real- time fingerspelling system grounded on American Sign Language (ASL) that utilizes neural networks. This deep learning approach has the capability to significantly reduce communication gaps.