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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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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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A multistage hierarchical algorithm for hand shape recognition [PDF]
, 2009 This paper represents a multistage hierarchical algorithm for hand shape recognition using principal component analysis (PCA) as a dimensionality reduction and a feature extraction method.
Shoukry, Amin A. +5 more
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Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques [PDF]
, 2021 The abstract should briefly summarize the contents of the paper in Sign language is the form of communication between the deaf and hearing population, which uses the gesture-spatial configuration of the hands as a communication channel with their social ...
Peluffo-Ordóñez D. +7 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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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
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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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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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A survey on sign language literature
Machine Learning with Applications, 2023 Individuals with hearing impairment encounter various types and levels of difficulties, highlighting the need for more research to provide effective support. One significant difficulty is communication and interaction with others.
Marie Alaghband +2 more
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