Hand Signs Recognition System Based On Genetic Algorithm
Abstract
Gestures-based correspondence is a common language used by persons who use a hearing aid for correspondence
purposes. Regardless of how well they communicate with one another using a gesture-based approach, they struggle with
a lack of clarity when they try to communicate with individuals who can see sound, particularly those who can't understand
gesture-based communication. Hand gestures are one of the nonverbal communication strategies used in gesture based
communication. It is most commonly used by hard of hearing and imbecilic people who have hearing or speech problems
to communicate among themselves or with other people. Numerous producers throughout the world have developed
various gesture-based communication frameworks, however they are neither adaptable nor practical for end users.
Currently, a number of experts in academia and industry are interested in this topic. It enables a person to work
successfully and efficiently with a machine without the need for any additional equipment. In this study, we discuss work
in the field of hand signal recognition, with a focus on sensitive processing-based strategies such as hereditary
computation.
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