Advancement Of Sign Language Recognition Through Technology Using Python And OpenCV
Abstract
The ability to communicate effectively is critical for every individual in society, but communication can be a challenge for people who are deaf or hard of hearing. Sign language is one of the primary means of communication for this population. However, communication can be difficult for people who need to learn sign language, leading to misunderstandings and frustration. Sign language recognition technology can help bridge this communication gap. Sign Language Recognition (SLR) handles the recognition of hand gestures and continues to generate a text or voice for the corresponding hand gesture. Static and dynamic hand motions are the two different categories. Although static hand gesture recognition is simpler than dynamic hand gesture recognition, both recognitions are essential for human communities. This paper focuses on smart gloves that can detect sign language and on sign language recognition using Python and OpenCV'