A review on systems-based sensory gloves for sign language recognition state of the art between 2007 and 2017

MA Ahmed, BB Zaidan, AA Zaidan, MM Salih… - Sensors, 2018 - mdpi.com
Loss of the ability to speak or hear exerts psychological and social impacts on the affected
persons due to the lack of proper communication. Multiple and systematic scholarly …

A comparative review on applications of different sensors for sign language recognition

MS Amin, STH Rizvi, MM Hossain - Journal of Imaging, 2022 - mdpi.com
Sign language recognition is challenging due to the lack of communication between normal
and affected people. Many social and physiological impacts are created due to speaking or …

Real-time sign language framework based on wearable device: analysis of MSL, DataGlove, and gesture recognition

MA Ahmed, BB Zaidan, AA Zaidan, AH Alamoodi… - Soft Computing, 2021 - Springer
Researchers have been inspired to use technology to enable people with hearing and
speech impairment to communicate and engage with others around them. Sensory …

Sign language recognition

T Karayılan, Ö Kılıç - 2017 International conference on …, 2017 - ieeexplore.ieee.org
Millions of people around the world suffer from hearing disability. This large number
demonstrates the importance of developing a sign language recognition system converting …

Online hand gesture recognition & classification for deaf & dumb

NS Soni, MS Nagmode… - … Conference on Inventive …, 2016 - ieeexplore.ieee.org
Sign language is widely used by individuals with hearing impairment to communicate with
each other conveniently using hand gestures. However, non-sign-language speakers find it …

Applying Machine Learning for American Sign Language Recognition: A Brief Survey

SK Singh, A Chaturvedi - International Conference on Communication and …, 2022 - Springer
Sign languages play a crucial role in enabling differently-abled people to communicate and
express their feelings. The advent of newer technologies in machine learning and sensors …

[PDF][PDF] A Novel Trans-Dataset Ensemble Architecture for Sign Language Recognition

N Lertchuwongsa, K Kanjanasit - Journal of Advances in Information …, 2024 - jait.us
Sign Language Recognition (SLR) is used to communicate between deaf and normal
people or among hearing-impaired communities. The rapid development of Artificial …

Sign Language Recognition Systems: A Comprehensive Review

R Aggarwal, A Meena, N Kaur… - 2024 First International …, 2024 - ieeexplore.ieee.org
Recently, emphasis has been placed on the applications of ISL since they assist people with
HIs in their day-to-day lives in diversely populated India. This review paper aims to present …

[PDF][PDF] Sign Language Detection and Classification using Hand Tracking and Deep Learning in Real-Time

HM Monisha, BS Manish, SJJ Ranjini Ravi Iyer - 2023 - researchgate.net
The development of a real-time sign language detection system is crucial for fostering
effective communication and inclusivity for individuals with hearing impairments. By …