American sign language alphabet recognition by extracting feature from hand pose estimation

J Shin, A Matsuoka, MAM Hasan, AY Srizon - Sensors, 2021 - mdpi.com
Sign language is designed to assist the deaf and hard of hearing community to convey
messages and connect with society. Sign language recognition has been an important …

[PDF][PDF] Static sign language recognition using deep learning

LKS Tolentino, ROS Juan… - … Journal of Machine …, 2019 - pdfs.semanticscholar.org
A system was developed that will serve as a learning tool for starters in sign language that
involves hand detection. This system is based on a skin-color modeling technique, ie …

Multi-semantic discriminative feature learning for sign gesture recognition using hybrid deep neural architecture

E Rajalakshmi, R Elakkiya… - IEEE …, 2023 - ieeexplore.ieee.org
The speech and hearing-impaired community use sign language as the primary means of
communication. It is quite challenging for the general population to interpret or learn sign …

Static and dynamic isolated Indian and Russian sign language recognition with spatial and temporal feature detection using hybrid neural network

E Rajalakshmi, R Elakkiya, AL Prikhodko… - ACM Transactions on …, 2022 - dl.acm.org
The Sign Language Recognition system intends to recognize the Sign language used by the
hearing and vocally impaired populace. The interpretation of isolated sign language from …

Real time sign language recognition using pca

SN Sawant, MS Kumbhar - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
The Sign Language is a method of communication for deaf-dumb people. This paper
presents the Sign Language Recognition system capable of recognizing 26 gestures from …

A survey on manual and non-manual sign language recognition for isolated and continuous sign

SC Agrawal, AS Jalal… - International Journal of …, 2016 - inderscienceonline.com
Sign language recognition is an important area of human computer interaction (HCI). The
last decade witnessed a good number of publications in this field. Furthermore, several …

Hidden Markov model for human to computer interaction: a study on human hand gesture recognition

S Bilal, R Akmeliawati, AA Shafie… - Artificial Intelligence …, 2013 - Springer
Human hand recognition plays an important role in a wide range of applications ranging
from sign language translators, gesture recognition, augmented reality, surveillance and …

[PDF][PDF] Real-time arabic sign language (arsl) recognition

NR Albelwi, YM Alginahi - International Conference on …, 2012 - researchgate.net
This paper presents a vision based system that provides a feasible solution to Arabic Sign
Language (ArSL) recognition of static gestures of alphabets. The proposed method doesn't …

Filipino sign language recognition using deep learning

MD Montefalcon, JR Padilla… - 2021 5th International …, 2021 - dl.acm.org
The Filipino deaf community continues to lag behind the fast-paced and technology-driven
society in the Philippines. The use of Filipino Sign Language (FSL) has contributed to the …

Survey of Hidden Markov Models (HMMs) for Sign Language Recognition (SLR)

I Sandjaja, A Alsharoa, D Wunsch… - 2024 IEEE 7th …, 2024 - ieeexplore.ieee.org
This paper surveyed several significant papers on specific topics applying the Hidden
Markov Models (HMMs) for Sign Language Recognition (SLR), divided into five main …