Arabic Sign Language Recognition System Based on Adaptive Pulse-Coupled Neural Network

2012 ◽  
pp. 213-221
Author(s):  
A. Samir Elons ◽  
Magdy Aboull-Ela
Keyword(s):  
Neural Network ◽  
Sign Language ◽  
Recognition System ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Pulse Coupled Neural Network ◽  
Arabic Sign Language

scholarly journals Arabic Sign Language Recognition System Using 2D Hands and Body Skeleton Data

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 59612-59627
Author(s):  
Mohamed A. Bencherif ◽  
Mohammed Algabri ◽  
Mohamed A. Mekhtiche ◽  
Mohammed Faisal ◽  
Mansour Alsulaiman ◽  
...  
Keyword(s):  
Sign Language ◽  
Recognition System ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Arabic Sign Language

scholarly journals Sign Language Recognition System

2022 ◽  
pp. 1-3
Author(s):  
Dr. Pooja M R ◽  
◽  
Meghana M ◽  
Harshith Bhaskar ◽  
Anusha Hulatti ◽  
...  
Keyword(s):  
Neural Network ◽  
Sign Language ◽  
Recognition System ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Voice Input ◽  
Normal People ◽  
Web Camera ◽  
A New Technique ◽  
Artificial Neural Network Ann

We witness many people who face disabilities like being deaf, dumb, blind etc. They face a lot of challenges and difficulties trying to interact and communicate with others. This paper presents a new technique by providing a virtual solution without making use of any sensors. Histogram Oriented Gradient (HOG) along with Artificial Neural Network (ANN) have been implemented. The user makes use of web camera, which takes input from the user and processes the image of different gestures. The algorithm recognizes the image and identifies the pending voice input. This paper explains two way means of communication between impaired and normal people which implies that the proposed ideology can convert sign language to text and voice.

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