Efficient Tracking Method to Make a Real Time Sign Language Recognition System

2014 ◽  
pp. 454-457
Author(s):  
Maher Jebali ◽  
Patrice Dalle ◽  
Mohamed Jemni
Keyword(s):  
Real Time ◽  
Sign Language ◽  
Recognition System ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Tracking Method

Hear Sign Language: A Real-time End-to-End Sign Language Recognition System

2020 ◽  
pp. 1-1
Author(s):  
Zhibo Wang ◽  
Tengda Zhao ◽  
Jinxin Ma ◽  
Hongkai Chen ◽  
Kaixin Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Sign Language ◽  
Recognition System ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
End To End

scholarly journals A Real Time Sign Language Recognition System using Hand Tracking

IJIREEICE ◽  
2021 ◽  
Vol 9 (7) ◽  
Author(s):  
Mrs Smitha P ◽  
Bhuvanashree R ◽  
Jyothi K.N
Keyword(s):  
Real Time ◽  
Sign Language ◽  
Recognition System ◽  
Hand Tracking ◽  
Language Recognition ◽  
Sign Language Recognition

scholarly journals A Real-Time American Sign Language Recognition System using Convolutional Neural Network for Real Datasets

TEM Journal ◽  
2020 ◽  
pp. 937-943
Author(s):  
Rasha Amer Kadhim ◽  
Muntadher Khamees
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
American Sign Language ◽  
Real Time ◽  
Sign Language ◽  
Recognition System ◽  
High Accuracy ◽  
American Sign ◽  
Language Recognition ◽  
Sign Language Recognition

In this paper, a real-time ASL recognition system was built with a ConvNet algorithm using real colouring images from a PC camera. The model is the first ASL recognition model to categorize a total of 26 letters, including (J & Z), with two new classes for space and delete, which was explored with new datasets. It was built to contain a wide diversity of attributes like different lightings, skin tones, backgrounds, and a wide variety of situations. The experimental results achieved a high accuracy of about 98.53% for the training and 98.84% for the validation. As well, the system displayed a high accuracy for all the datasets when new test data, which had not been used in the training, were introduced.

Based on wearable sensory device in 3D-printed humanoid: A new real-time sign language recognition system

Measurement ◽  
2021 ◽  
Vol 168 ◽  
pp. 108431
Author(s):  
M.A. Ahmed ◽  
B.B. Zaidan ◽  
A.A. Zaidan ◽  
Mahmood M. Salih ◽  
Z.T. Al-qaysi ◽  
...  
Keyword(s):  
Real Time ◽  
Sign Language ◽  
Recognition System ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
3D Printed
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