SIGN LANGUAGE RECOGNITION USING MACHINE LEARNING

Sign language serves as a vital means of communication for individuals who are deaf or hard of hearing.However, challenges often arise when engaging with those unfamiliar with sign language, leading to communication barriers.This project aims to address this issue by developing an advanced Sign Language Recognition System that utilizes machine learning and computer vision to translate hand gestures into text or speech output, enhancing accessibility and inclusivity.

Authors

Publication Details

Journal
International Research Journal of Education and Technology (IRJET).
Published
2024-11-29
DOI
https://doi.org/10.70127/irjedt.vol.7.issue03.1970
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

SIGN LANGUAGE RECOGNITION USING MACHINE LEARNING

K. Chandraprabha
International Research Journal of Education and Technology (IRJET).
Hand Gesture Recognition Systems
article

SIGN LANGUAGE RECOGNITION USING MACHINE LEARNING

K. Chandraprabha
article en

Abstract

Sign language serves as a vital means of communication for individuals who are deaf or hard of hearing.However, challenges often arise when engaging with those unfamiliar with sign language, leading to communication barriers.This project aims to address this issue by developing an advanced Sign Language Recognition System that utilizes machine learning and computer vision to translate hand gestures into text or speech output, enhancing accessibility and inclusivity.

International Research Journal of Education and Technology (IRJET).Vol. 6(11)
Openalex Percentile: Top 71%
Hand Gesture Recognition Systems
DOIOpen Access PDFOpenAlex
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SIGN LANGUAGE RECOGNITION USING MACHINE LEARNING — K. Chandraprabha · International Research Journal of Education and Technology (IRJET). (2024) | TGRS Research Map | TGRS