Enhancing Communication through Automated Sign Language Recognition using Machine Learning

Abstract: Individuals with hearing impairments often encounter challenges in communicating effectively with those who do not share their condition. The majority of the population lacks awareness regarding the recognition of sign language. Employing machine learning and computer vision (CV) technologies can offer substantial support to the hearing impaired. These technologies can be further developed to create automatic interpreters, allowing individuals to comprehend sign language effortlessly through hand gesture recognition. In interpersonal communication, hand movements hold significant importance, serving as a crucial means to connect individuals with hearing impairments and those without.

Keywords: Hearing Impairments, Interpersonal communication, computer vision(CV), Hand Gesture Recognition