An Analysis of Sign Language Translation and Recognition Systems

Abstract

Communication is very essential for each and every individual person, because it allows us to express our feelings, sentiments, and ideas etc. Humans can communicate with one another through a variety of means, including natural language, body language, and even writing. People who do not have any disabilities, such as hearing or speaking impairments, can use all of the foregoing modes of communication to communicate with other normal people. Natural language, which includes words, sentences, and so on, is the most often utilized type of communication by normal people. On the other hand, People with disabilities use Sign Language to communicate with others. Deaf and dumb people comprehend sign language easily and quickly, but it is difficult for them to communicate with normal people who do not understand sign language. Deaf and dumb persons are unable to effectively convey their feelings and thoughts to other normal people due to hearing and speaking issues, which is a serious problem all over the world. To address this issue, numerous systems were developed that interpret sign language (Hand movements, facial expression etc.), recognize signs (Hand Gestures), and display the relevant text on the system, allowing normal people to understand the language of the deaf and dumb. The fundamental purpose of this survey paper is to read all of the methods that were used in various systems and to identify the most efficient method that can be adopted in future research work.