Recognition of Sign Language with CNN
A dataset is gathered and several feature extraction methodologies are used to retrieve important data, which is then input into supervised learning methods in this study to take a step forward in this field.
Abstract
Sign language is one method of communicating with deaf people. Because of the inclusion of elements and differences in regional dialects, this project's ISL research has been limited. It is necessary to learn sign language in order to communicate with them. Teaching methods most commonly used are those that involve students working together in groups. Sign language study materials are few, and they are usually used when there is no comparable sign or the signer is unsure of it. The vast majority of currently available options for teaching sign language rely on high-priced third-party sensors. A dataset is gathered and several feature extraction methodologies are used to retrieve important data, which is then input into supervised learning methods in this study to take a step forward in this field.