Results 31 to 40 of about 40,432 (289)
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTSign language is a vital communication tool for those who are deaf or hard of hearing.but it confronts numerous challenges as a result of its low level of certification and general awareness. This study recommends developing a real-time sign language identification system with machine learning techniques in order to bridge this communication gap.
Dr. Geetha M, Bhoomika H S
+8 more sources
Machine learning methods for sign language recognition: A critical review and analysis
Intelligent Systems with Applications, 2021 Sign language is an essential tool to bridge the communication gap between normal and hearing-impaired people. However, the diversity of over 7000 present-day sign languages with variability in motion position, hand shape, and position of body parts ...
I.A. Adeyanju, O.O. Bello, M.A. Adegboye
doaj +1 more source
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
doaj +1 more source
Peruvian Sign Language Recognition Using Recurrent Neural Networks
, 2022 Deaf people generally face difficulties in their daily lives when they try to communicate with hearing people, this is due to the lack of sign language knowledge in the country.
Barrientos-Villalta, Geraldine Fiorella +2 more
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A unified system for segmentation and tracking of face and hands in sign language recognition [PDF]
, 2006 This paper presents a unified system for segmentation and tracking of face and hands in a sign language recognition using a single camera. Unlike much related work that uses colour gloves, we detect skin by combining 3 useful features: colour, motion and
A. Sutherland +5 more
core +1 more source
2017 International Conference on Computer Science and Engineering (UBMK), 2017 Millions of people around the world suffer from hearing disability. This large number demonstrates the importance of developing a sign language recognition system converting sign language to text for sign language to become clearer to understand without a translator. In this paper, a sign language recognition system using Backpropagation Neural Network
Karayilan, Tulay, KILIÇ, ÖZKAN
openaire +3 more sources
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
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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Sign Language Recognition Using the Electromyographic Signal: A Systematic Literature Review
Sensors, 2023 The analysis and recognition of sign languages are currently active fields of research focused on sign recognition. Various approaches differ in terms of analysis methods and the devices used for sign acquisition.
Amina Ben Haj Amor +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
doaj +1 more source