Gesture Language Recognition

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Gesture Language Recognition

Divya Kale, Bhagyashri Patle, Jividha Nandanwar, Kaushik Uchibagle, Rahul Bhandeka

DOI :  10.46335/IJIES.2023.8.6.1

Abstract –One of the non-verbal communication methods adopted in gesture language is hand gestures. It is mostly used by deaf and dumb individuals to communicate with other people or among themselves when they have hearing or speech issues. Many producers across the world have created numerous gesture language systems; however, they are neither adaptable nor economical for end users. As a result, the program shows a system prototype that can automatically detect gesture language to aid deaf and dumb individuals to communicate more efficiently with each other and other people. Normal people often find it difficult to comprehend and converse with dumb individuals, hence they are typically denied regular social interaction. Long-term research has led to a breakthrough in aiding deaf-mute people: gesture language recognition. Every study, sadly, has constraints that prevent it from being applied economically. Some studies have been proven to be effective in understanding gesture language, but they cost a lot of money to market. Researchers are receiving increasing attention these days for creating commercially viable Gesture Language Recognition. Research is conducted in a variety of methods. It begins with the data collection techniques. The cost of a suitable device necessitates a variety of data-collecting techniques; nonetheless, a low-cost technique is required for the commercialization of the Gesture Language Recognition System. Additionally, academics' approaches to creating Gesture Language Recognition differ.