Work

Sign Language Detection and Translation

Year: 2023

Type: article

Abstract: Communication between the general public and the deaf community is difficult. Most people find it difficult to communicate without an interpreter since sign language is not universally understood. This research suggests utilizing machine learning methods to build an effective Sign Language Detection and Translation model employing real-time dataset. This model could be employed in school and other places, facilitating communication between impaired and non-impaired people. The suggested approach can be used to recognize sign language with ease using Keras and Tensorflow.

Source: Journal of Mines Metals and Fuels

DOI: 10.18311/jmmf/2023/34158

Authors: Rimika Bhaumik, Sudipta Patra, Debdipta Chakraborty, Subhadeep Basack, Pallabi Mazumder, Paromita Das

Institution: Amity University

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4402154792

FWCI:

Cites: 17

Cited by:

Related to: 10