Hand talk: Intelligent gesture based communication recognition & object identification for deaf and dumb

2Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In the course of the last hardly any year, there has been speedy extension in the amount of deaf and dumb due to birth flaws, setbacks and oral sicknesses. Since people who are absolutely can't talk with a common individual, they need to rely upon some kind of visual communication [16]. Movement affirmation is the mathematical interpretation of a human development by a handling creation. Motion based correspondence gives the best correspondence stage to people who are almost hard of hearing or calm to talk with an ordinary person. Develop a steady hand movement affirmation system, which sees hand movements, by then changes over gestural pictures into voice. Also, perceive the continuous article or an item in the picture, this assists with learning or discover the item name. The thoughts included the planning and executing a framework utilizing machine learning, image processing and computer vision ideas to accept contribution as hand motions and create unmistakable outcomes in content and voice structure with 91% precision.

Cite

CITATION STYLE

APA

Kesarwani, A., Maheshwari, S., Sharma, S., & Rai, B. K. (2022). Hand talk: Intelligent gesture based communication recognition & object identification for deaf and dumb. In AIP Conference Proceedings (Vol. 2424). American Institute of Physics Inc. https://doi.org/10.1063/5.0076796

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free