Exploring sign language detection on smartphones: A systematic review of machine and deep learning approaches

I Alam, A Hameed, RA Ziar - Advances in Human‐Computer …, 2024 - Wiley Online Library
In this modern era of technology, most of the accessibility issues are handled with the help of
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …

A survey of applications and human motion recognition with microsoft kinect

R Lun, W Zhao - International Journal of Pattern Recognition and …, 2015 - World Scientific
Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers
or game consoles naturally through gestures and spoken commands without any other …

Recent trends in gesture recognition: how depth data has improved classical approaches

T D'Orazio, R Marani, V Renò, G Cicirelli - Image and Vision Computing, 2016 - Elsevier
This paper analyzes with a new perspective the recent state of-the-art on gesture recognition
approaches that exploit both RGB and depth data (RGB-D images). The most relevant …

[PDF][PDF] Real time static and dynamic sign language recognition using deep learning

P Jayanthi, PRK Bhama, K Swetha… - Journal of Scientific & …, 2022 - op.niscpr.res.in
Sign language recognition systems are used for enabling communication between deaf-
mute people and normal user. Spatial localization of the hands could be a challenging task …

Recognition of static gestures applied to brazilian sign language (libras)

ILO Bastos, MF Angelo, AC Loula - 2015 28th SIBGRAPI …, 2015 - ieeexplore.ieee.org
This paper aims at describing an approach developed for the recognition of gestures on
digital images. In this way, two shape descriptors were used: the histogram of oriented …

Finger spelling recognition from RGB-D information using kernel descriptor

KO Rodriguez, GC Chavez - 2013 XXVI conference on graphics …, 2013 - ieeexplore.ieee.org
Deaf people use systems of communication based on sign language and finger spelling.
Manual spelling, or finger spelling, is a system where each letter of the alphabet is …

An educational game to teach numbers in Brazilian Sign Language while having fun

HP Pontes, JBF Duarte, PR Pinheiro - Computers in Human Behavior, 2020 - Elsevier
This work presents an educational, cross-platform, turn-based, heavily visual-based and
touch-ready digital game that targets the learning of signs in BSL for some Natural Numbers …

Sign language recognition with support vector machines and hidden conditional random fields: going from fingerspelling to natural articulated words

CR de Souza, EB Pizzolato - Machine Learning and Data Mining in …, 2013 - Springer
This paper describes the authors' experiments with Support Vector Machines and Hidden
Conditional Random Fields on the classification of freely articulated sign words drawn from …

Efficient kinect sensor-based kurdish sign language recognition using echo system network

SF Mirza, AK Al-Talabani - ARO-The Scientific Journal of Koya …, 2021 - 88.198.206.215
Sign language assists in building communication and bridging gaps in understanding.
Automatic sign language recognition (ASLR) is a field that has recently been studied for …

Brazilian sign language recognition using kinect

JE Yauri Vidalón, JM De Martino - … , The Netherlands, October 8-10 and 15 …, 2016 - Springer
The simultaneous-sequential nature of sign language production, which employs hand
gestures and body motions combined with facial expressions, still challenges sign language …