Results 41 to 50 of about 20,260 (228)
Experimenting the Automatic Recognition of Non-Conventionalized Units in Sign Language
Algorithms, 2020 Sign Languages (SLs) are visual–gestural languages that have developed naturally in deaf communities. They are based on the use of lexical signs, that is, conventionalized units, as well as highly iconic structures, i.e., when the form of an utterance ...
Valentin Belissen +2 more
doaj +1 more source
Video-based Sign Language Recognition without Temporal Segmentation
, 2018 Millions of hearing impaired people around the world routinely use some variants of sign languages to communicate, thus the automatic translation of a sign language is meaningful and important.
Huang, Jie +4 more
core +1 more source
Sensors, 2016 Sign language recognition (SLR) has been widely used for communication amongst the hearing-impaired and non-verbal community. This paper proposes an accurate and robust SLR framework using an improved decision tree as the base classifier of random ...
Ruiliang Su +3 more
doaj +1 more source
Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition
, 2016 Human body pose estimation and hand detection are two important tasks for systems that perform computer vision-based sign language recognition(SLR). However, both tasks are challenging, especially when the input is color videos, with no depth information.
Chen X. +5 more
core +1 more source
A systematic review of augmented reality applications in maintenance [PDF]
, 2017 Augmented Reality (AR) technologies for supporting maintenance operations have been an academic research topic for around 50 years now. In the last decade, major progresses have been made and the AR technology is getting closer to being implemented in ...
Erkoyuncu, J. A. +3 more
core +2 more sources
, 2023 Automatic sign language recognition (SLR) is an important topic within the areas of human-computer interaction and machine learning. On the one hand, it poses a complex challenge that requires the intervention of various knowledge areas, such as video ...
Estrebou, César +4 more
core +1 more source
Vision-based portuguese sign language recognition system [PDF]
, 2014 Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer ...
A. Blum +19 more
core +1 more source
Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues
IEEE Access, 2021 People with hearing impairments are found worldwide; therefore, the development of effective local level sign language recognition (SLR) tools is essential.
Muhammad Al-Qurishi +2 more
doaj +1 more source
, 2014 License Plate recognition plays an important role on the traffic monitoring and parking management systems. In this paper, a fast and real time method has been proposed which has an appropriate application to find tilt and poor quality plates.
Azad, Reza, Shayegh, Hamid Reza
core +1 more source
Hand gesture recognition system based in computer vision and machine learning [PDF]
, 2015 "Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"Hand gesture recognition is a natural way of human computer interaction and an area of very active research in computer vision and machine learning.
A Chaudhary +5 more
core +1 more source