AI-Enabled Real-Time Sign Language Translator

Patil, Yash; Krishnadas, Sahil; Kastwar, Adya; Kulkarni, Sujata

doi:10.1007/978-981-15-4032-5_33

Cited by 2 publications

(2 citation statements)

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“…This section provides a theoretical background for D-talk to have a better understanding of the process to be used in the application [13,30,32]. This application can provide a helpful tool for communication between the deaf and the external world.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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D-Talk: Sign Language Recognition System for People with Disability using Machine Learning and Image Processing

Saleh¹

2020

IJATCSE

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Communication plays a significant role in making the world a better place. Communication creates bonding and relations among the people, whether persona, social, or political views. Most people communicate efficiently without any issues, but many cannot due to disability. They cannot hear or speak, which makes Earth a problematic place to live for them. Even simple basic tasks become difficult for them. Disability is an emotive human condition. It limits the individual to a certain level of performance. Being deaf and dumb pushes the subject to oblivion, highly introverted. In a world of inequality, this society needs empowerment. Harnessing technology to improve their welfare is necessary. In a tech era, no one should be limited due to his or her inability. The application of technology should create a platform or a world of equality despite the natural state of humans. On the other hand, technology is the most innovative thing on Earth for every time the clock ticks, researchers, software engineers, programmers, and information technology specialists are always coming up with bright ideas to provide convenience to everyone. This paper shows how artificial intelligence is being used to help people who are unable to do what most people do in their everyday lives. Aligned with communication, D-talk is a system that allows people who are unable to talk and hear be fully understood and for them to learn their language easier and also for the people that would interact and communicate with them. This system provides detailed hand gestures that show the interpretation at the bottom so that everyone can understand them. This research allows the readers to learn the system and what it can do to people who are struggling with what they are not capable of and will provide the technical terms on how the system works.

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Section: Theoretical Backgroundmentioning

confidence: 99%

“…The structure of the decision tree contains nodes that separated into root node, inner node, and end node 'leaf'. The root node is the start of the decision has no incoming edges [32,40]. Inner nodes include one incoming edge and at least more than one outgoing edge.…”

Section: Decision Treementioning

confidence: 99%