Study on hand keypoint framework for sign language recognition
S Amaliya, AN Handayani, MI Akbar… - 2021 7th …, 2021 - ieeexplore.ieee.org
This study looks at the development of a sign language translation system that will serve as
a communication link between deaf and hearing people. The Indonesian Language Sign …
a communication link between deaf and hearing people. The Indonesian Language Sign …
Thai sign language recognition: an application of deep neural network
A Chaikaew, K Somkuan… - 2021 joint international …, 2021 - ieeexplore.ieee.org
Thai Sign Language (TSL) is the national sign language for Thai deaf people or hearing
impaired in Thailand. These people with disabilities can use sign language to communicate …
impaired in Thailand. These people with disabilities can use sign language to communicate …
Recursive feature elimination for improving learning points on hand-sign recognition
Hand gestures and poses allow us to perform non-verbal communication. Sign language is
becoming more important with the increase in the number of deaf and hard-of-hearing …
becoming more important with the increase in the number of deaf and hard-of-hearing …
An evaluation of hand-based algorithms for sign language recognition
Sign language recognition is an evolving research field in computer vision, assisting
communication between hearing disabled people. Hand gestures contain the majority of the …
communication between hearing disabled people. Hand gestures contain the majority of the …
Hand landmark-based sign language recognition using deep learning
J John, BV Sherif - … Learning and Autonomous Systems: Proceedings of …, 2022 - Springer
As human being's communication is a very crucial part of our life, it is essential for sharing
thoughts and ideas for our survival. But unfortunately for the speaking and hearing-impaired …
thoughts and ideas for our survival. But unfortunately for the speaking and hearing-impaired …
Automatic Digit Hand Sign Detection With Hand Landmark
Sign language is challenging to understand and needs a lot of practice before it can be
mastered. With the growth of the deaf and the hard-of-hearing community, researchers are …
mastered. With the growth of the deaf and the hard-of-hearing community, researchers are …
American sign language identification using hand trackpoint analysis
Y Bajaj, P Malhotra - … and Communications: Proceedings of ICICC 2021 …, 2022 - Springer
Sign language helps people with speaking and hearing disabilities communicate with others
efficiently. Sign language identification is a challenging area in the field of computer vision …
efficiently. Sign language identification is a challenging area in the field of computer vision …
Deep learning methods for indian sign language recognition
P Likhar, NK Bhagat, GN Rathna - 2020 IEEE 10th …, 2020 - ieeexplore.ieee.org
Indian Sign Language is the language used by specially abled people in India.
Unfortunately the general population has no understanding of the sign language which …
Unfortunately the general population has no understanding of the sign language which …
Machine learning-based hand sign recognition
G Pala, JB Jethwani, SS Kumbhar… - … Conference on Artificial …, 2021 - ieeexplore.ieee.org
Sign Language is used by the deaf and voiceless community to be able to communicate with
others, but the most commonly faced problem here is that everyone around may not be able …
others, but the most commonly faced problem here is that everyone around may not be able …
An approach to Sri Lankan sign language recognition using deep learning with MediaPipe
RJ Herath, P Ishanka - International Conference on Digital Technologies …, 2022 - Springer
Currently, there are millions of people around the world with speech and hearing
impairments, and according to the latest census, there are nearly 70,000 people who use Sri …
impairments, and according to the latest census, there are nearly 70,000 people who use Sri …