Results 31 to 40 of about 5,341,863 (279)
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
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Technical Approaches to Chinese Sign Language Processing: A Review
IEEE Access, 2019 As with the huge number of deaf-mute people in China is of concern, there is a growing need to integrate them into mainstream society through the use of efficient sign language processing technologies.
Suhail Muhammad Kamal +4 more
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Improved 3D-ResNet sign language recognition algorithm with enhanced hand features
Scientific Reports, 2022 In sign language video, the hand region is small, the resolution is low, the motion speed is fast, and there are cross occlusion and blur phenomena, which have a great impact on sign language recognition rate and speed, and are important factors ...
Shiqi Wang +4 more
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Sensors, 2021 Sign language is the most important way of communication for hearing-impaired people. Research on sign language recognition can help normal people understand sign language. We reviewed the classic methods of sign language recognition, and the recognition
Lu Meng, Ronghui Li
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The ATIS sign language corpus [PDF]
, 2008 Systems that automatically process sign language rely on appropriate data. We therefore present the ATIS sign language corpus that is based on the domain of air travel information. It is available for five languages, English, German, Irish sign language,
Morrissey, Sara +6 more
core +2 more sources
Hand gestures for emergency situations: A video dataset based on words from Indian sign language
Data in Brief, 2020 Automatic sign language recognition provides better services to the deaf as it avoids the existing communication gap between them and the rest of the society.
V. Adithya, R. Rajesh
doaj +1 more source
Sign Language Recognition: High Performance Deep Learning Approach Applyied To Multiple Sign Languages [PDF]
E3S Web of Conferences, 2022 In this paper we present a high performance Deep Learning architecture based on Convolutional Neural Network (CNN). The proposed architecture is effective as it is capable of recognizing and analyzing with high accuracy different Sign language datasets ...
El Zaar Abdellah +2 more
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Artificial Intelligence Technologies for Sign Language
Sensors, 2021 AI technologies can play an important role in breaking down the communication barriers of deaf or hearing-impaired people with other communities, contributing significantly to their social inclusion.
Ilias Papastratis +4 more
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, 2020 This volume has arisen from a three-part, five-year study on language contact among multilingual sign language users, which has three strands: cross-signing, sign-switching, and sign-speaking. These phenomena are only sparsely documented so far, and thus
core +1 more source
Hand in hand: automatic sign Language to English translation [PDF]
, 2007 In this paper, we describe the first data-driven automatic sign-language-to- speech translation system. While both sign language (SL) recognition and translation techniques exist, both use an intermediate notation system not directly intelligible for ...
Morrissey, Sara +4 more
core +2 more sources