Results 31 to 40 of about 20,260 (228)
Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
Applied Sciences, 2023 Sign language recognition (SLR) is one of the crucial applications of the hand gesture recognition and computer vision research domain. There are many researchers who have been working to develop a hand gesture-based SLR application for English, Turkey ...
Jungpil Shin +6 more
doaj +1 more source
A Survey on Sign Language Recognition and Training Module [PDF]
ITM Web of Conferences, 2023 Communication among the deaf and non-verbal communities has long reliedon sign language recognition. From all researchers around from early electric signal-based sign language identification to more recent recognition using machine/deep learning ...
Anjana Devi V. +2 more
doaj +1 more source
A Comparative Review on Applications of Different Sensors for Sign Language Recognition
Journal of Imaging, 2022 Sign language recognition is challenging due to the lack of communication between normal and affected people. Many social and physiological impacts are created due to speaking or hearing disability.
Muhammad Saad Amin +2 more
doaj +1 more source
ZS-SLR: Zero-Shot Sign Language Recognition from RGB-D Videos
, 2021 Sign Language Recognition (SLR) is a challenging research area in computer vision. To tackle the annotation bottleneck in SLR, we formulate the problem of Zero-Shot Sign Language Recognition (ZS-SLR) and propose a two-stream model from two input modalities: RGB and Depth videos.
Rastgoo, Razieh +2 more
openaire +2 more sources
Deep Forest-Based Monocular Visual Sign Language Recognition
Applied Sciences, 2019 Sign language recognition (SLR) is a bridge linking the hearing impaired and the general public. Some SLR methods using wearable data gloves are not portable enough to provide daily sign language translation service, while visual SLR is more flexible to ...
Qifan Xue +3 more
doaj +1 more source
Sensors, 2019 For online sign language recognition (SLR) based on inertial measurement unit (IMU) and a surface electromyography (sEMG) sensor, achieving high-accuracy is a major challenge.
Fei Wang +5 more
doaj +1 more source
The Validation of Speech Corpora [PDF]
, 2012 1.2 Intended audience........................
Baumann, Angela +5 more
core +1 more source
A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework
Sensors, 2016 Sign language recognition (SLR) can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG) sensors ...
Shengjing Wei +4 more
doaj +1 more source
Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals [PDF]
, 2016 This paper tackles the problem of spotting a set of signs occuring in videos with sequences of signs. To achieve this, we propose to model the spatio-temporal signatures of a sign using an extension of sequential patterns that contain temporal intervals ...
Bowden, R +3 more
core +1 more source
Sign language recognition with transformer networks [PDF]
, 2020 Sign languages are complex languages. Research into them is ongoing, supported by large video corpora of which only small parts are annotated. Sign language recognition can be used to speed up the annotation process of these corpora, in order to aid ...
Dambre, Joni +2 more
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