Unfortunately, deaf people do not have a written form and have a huge lack of electronic resources. So, deaf people can understand us or vice versa. To communicate with deaf people, an interpreter is needed to translate real-world words and sentences. It is defined as a mode of interaction for the hard of hearing people through a collection of hand gestures, postures, movements, and facial expressions or movements which correspond to letters and words in our real life. SL is the bridge for communication between deaf and normal people. According to the world federation of deaf people, there are about 300 sign languages (SLs) used around the world. This number has increased to 466 million by 2020, and it is estimated that by 2050 over 900 million people will have hearing loss disability. Furthermore, the article presents a graphical depiction and a tabular representation of various SLR approaches.īased on the World Health Organization (WHO) statistics, there are over 360 million people with hearing loss disability (WHO 2015 ). It discusses both the vision-based and the data-gloves-based approaches, aiming to analyze and focus on main methods used in vision-based approaches such as hybrid methods and deep learning algorithms. The article compares the different approaches and techniques applied on these datasets. It also discusses the devices required to build these datasets, as well as the different preprocessing steps applied before training and testing. The article addresses the most common datasets used in the literature for the two tasks (static and dynamic datasets that are collected from different corpora) with different contents including numerical, alphabets, words, and sentences from different SLs.

The latter task is targeted to identify the signer language, while the former is aimed to translate the signer conversation into tokens (signs). This article highlights two main SL processing tasks: Sign Language Recognition (SLR) and Sign Language Identification (SLID). Researchers in this field aim to remove any obstacles that prevent the communication with deaf people by replacing all device-based techniques with vision-based techniques using Artificial Intelligence (AI) and Deep Learning.

Each sign in a language is represented with variant hand gestures, body movements, and facial expressions. Each country has its own SL that is different from other countries. Sign Language (SL) is the main language for handicapped and disabled people.

Another word for sign language