ELM based two-handed dynamic turkish sign language (TSL) word recognition

Z Katılmış, C Karakuzu - Expert Systems with Applications, 2021 - Elsevier
Hearing impaired individuals can easily overcome the barriers in communicating with other
members of the society via computer technology. In this study, the recognition of dynamic …

Double handed dynamic Turkish Sign Language recognition using Leap Motion with meta learning approach

Z Katılmış, C Karakuzu - Expert Systems with Applications, 2023 - Elsevier
Sign language is one of the most important communication tools for hearing impaired
people. In this study, the recognition of two-handed dynamic words in Turkish Sign …

American sign language recognition using leap motion controller with machine learning approach

TW Chong, BG Lee - Sensors, 2018 - mdpi.com
Sign language is intentionally designed to allow deaf and dumb communities to convey
messages and to connect with society. Unfortunately, learning and practicing sign language …

Turkish sign language recognition with leap motion

B Demircioğlu, G Bülbül, H Köse - 2016 24th Signal Processing …, 2016 - ieeexplore.ieee.org
The aim of this project is to establish the communication between the hearing impaired
people and non-sign-language-speaking people easier and to raise the awareness of the …

[PDF][PDF] Hand talk-a sign language recognition based on accelerometer and SEMG data

K Anetha, J Rejina Parvin - International Journal of Innovative Research in …, 2014 - Citeseer
Everyday communication with the hearing population poses a major challenge to those with
hearing loss. For this purpose, an automatic American Sign Language recognition system is …

Trajectory-based recognition of dynamic Persian sign language using hidden Markov model

SG Azar, H Seyedarabi - Computer Speech & Language, 2020 - Elsevier
Abstract Sign Language Recognition (SLR) is an important step in facilitating the
communication among deaf people and the rest of society. Existing Persian sign language …

Prototype Arabic Sign language recognition using multi-sensor data fusion of two leap motion controllers

M Mohandes, S Aliyu, M Deriche - 2015 IEEE 12th …, 2015 - ieeexplore.ieee.org
Sign language is important for facilitating communication between hearing impaired and the
rest of society. However, most vocal people do not understand sign language, hence, the …

A real time Arabic sign language alphabets (ArSLA) recognition model using deep learning architecture

Z Alsaadi, E Alshamani, M Alrehaili, AAD Alrashdi… - Computers, 2022 - mdpi.com
Currently, treating sign language issues and producing high quality solutions has attracted
researchers and practitioners' attention due to the considerable prevalence of hearing …

[PDF][PDF] Enhancing the recognition of Arabic sign language by using deep learning and leap motion controller

A Alnahhas, B Alkhatib, N Al-Boukaee… - Int. J. Sci. Technol …, 2020 - researchgate.net
Because of the need to build assistive systems for people with special needs, many
computer systems have emerged to help understand sign language. In this paper we …

Arabic sign language recognition using Ada-Boosting based on a leap motion controller

B Hisham, A Hamouda - International Journal of Information Technology, 2021 - Springer
Abstract According to the World Health Organization (WHO), 466 million people are suffering
from hearing loss, ie, 5% of the world population, of which 432 million (93%) are adults and …