A Detail Study of Sign Language Communication for Deaf-Mute to Normal Person

Abstract

Even though sign language recognition systems are crucial, there isn’t a well-structured literature study to help Deaf-Mute. Approximately 160 research articles were found and reviewed in this survey of the sign recognition framework. From this pool, around 100 research articles were chosen, analyzed, and categorized. Each of these articles was grouped according to several criteria, such as datasets, kind of sign language, data collection methods, preprocessing, segmentation, and learning strategy. Notably, the largest study on sign language recognition utilized cameras and focused on steady, separated, and one-handed signs. Researchers are receiving increasing attention these days for creating cost-effective sign language recognition. According to the review, the main reason why commercialized sign language hasn’t yet been developed as the current methods for identifying sign language either require expensive equipment or take too much computational time. The objective of this article is to provide an overview of recent developments in the field of computer vision, enabling other researchers to gain insights and potentially develop more efficient sign language systems.