Results 31 to 40 of about 35,600 (244)

An Attention-Enhanced Multi-Scale and Dual Sign Language Recognition Network Based on a Graph Convolution Network

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
doaj   +1 more source

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, Yidong Chen, Shaozi Li, Xiaodong Shi, Jiangbin Zheng   +4 more
doaj   +1 more source

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

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, Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras   +4 more
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, Benaya Nabil, El Allati Abderrahim   +2 more
doaj   +1 more source

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, Hamid Reza Maghroor, Ivan Garibay   +2 more
doaj   +1 more source

Sign Language Recognition

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
In this paper, we propose an approach, for sign language recognition, that makes use of a virtual reality headset to create an immersive environment. We show how features from data acquired by the Leap Motion controller, using an egocentric view, can be used to automatically recognize a user signed gesture.
Jacob Schioppo, Zachary Meyer, Diego Fabiano, Shaun J. Canavan   +3 more
openaire   +2 more sources

Recognizing multiclass Static Sign Language words for deaf and dumb people of Bangladesh based on transfer learning techniques

Informatics in Medicine Unlocked, 2022
Sign language is a language used for communication of the deaf and dumb (D&D) community. To avoid difficulties in communication among themselves and also among normal people, transfer learning-based automatic sign language recognition can play a great ...
Md. Monirul Islam, Md. Rasel Uddin, Md. Nasim AKhtar, K.M. Rafiqul Alam   +3 more
doaj   +1 more source

American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach

Sensors, 2018
Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
doaj   +1 more source

Sign Language Recognition: A Comprehensive Review of Traditional and Deep Learning Approaches, Datasets, and Challenges

IEEE Access
The Deaf are a large social group in society. Their unique way of communicating through sign language is often confined within their community due to limited understanding by individuals outside of this demographic.
Tangfei Tao, Yizhe Zhao, Tianyu Liu, Jieli Zhu   +3 more
doaj   +1 more source