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Exploring sign language detection on smartphones: A systematic review of machine and deep learning approaches
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 …
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 …
or game consoles naturally through gestures and spoken commands without any other …
Recent trends in gesture recognition: how depth data has improved classical approaches
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 …
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
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 …
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)
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 …
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 …
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
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 …
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
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 …
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
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 …
Automatic sign language recognition (ASLR) is a field that has recently been studied for …
Brazilian sign language recognition using kinect
The simultaneous-sequential nature of sign language production, which employs hand
gestures and body motions combined with facial expressions, still challenges sign language …
gestures and body motions combined with facial expressions, still challenges sign language …