Deaf and hard-of-hearing individuals use sign language to communicate with their peers and others. The process of using computers to recognize the sign language involves recognizing signs through gesture recognition as well as converting signs into text or speech. The signs can be classified as either static or dynamic, with static gesture recognition being easier than dynamic gesture recognition; however, both types of gesture recognition systems are very useful to the human community. This paper describes the methods used to recognize sign language. The different stages of sign language recognition, such as how the data is collected, preprocessed, transformed, and recognized, as well as the results from using these methods, are discussed within this article. Several future research avenues regarding sign language recognition are also presented.
sign language recognition; static gesture recognition; dynamic gesture recognition; gesture analysis; face recognition
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