Results 21 to 30 of about 33,490 (247)
Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey [PDF]
BIO Web of ConferencesRecognizing sign language is one of the most challenging tasks of our time. Researchers in this field have focused on different types of signaling applications to get to know typically, the goal of sign language recognition is to classify sign language ...
Hussein Zahraa A. +2 more
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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
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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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IEEE Access, 2022 Sign language is the primary communication medium for persons with hearing impairments. This language depends mainly on hand articulations accompanied by nonmanual gestures. Recently, there has been a growing interest in sign language recognition.
Hamzah Luqman
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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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Sign language recognition method based on deep learning [PDF]
ITM Web of ConferencesSign language recognition, as an interdisciplinary field involving computer vision, pattern recognition, and natural language processing, holds profound research significance and extensive application value.
He Mu
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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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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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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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