Pattern recognition based on neural network for sign language interpretation system using flexes sensor

2020 ◽  
pp. 15-17
Author(s):  
D.A. Kadhim ◽  
O. Obaid
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Sign Language ◽  
Language Interpretation ◽  
Interpretation System

A Modern Approach for Sign Language Interpretation Using Convolutional Neural Network

2019 ◽  
pp. 431-444 ◽  
Author(s):  
Pias Paul ◽  
Moh. Anwar-Ul-Azim Bhuiya ◽  
Md. Ayat Ullah ◽  
Molla Nazmus Saqib ◽  
Nabeel Mohammed ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Sign Language ◽  
Modern Approach ◽  
Language Interpretation

scholarly journals Computer Sign Language Interpretation System Development of Russian Language

2014 ◽  
Vol 6 (37) ◽  
pp. 170
Author(s):  
Yulia Sergeevna Manueva ◽  
Mikhail Gennadyevich Grif ◽  
Andrei Nikolaevich Kozlov
Keyword(s):  
Sign Language ◽  
System Development ◽  
Russian Language ◽  
Language Interpretation ◽  
Interpretation System

HANDWRITTEN ADDRESS INTERPRETATION: A TASK OF MANY PATTERN RECOGNITION PROBLEMS

2000 ◽  
Vol 14 (05) ◽  
pp. 663-674 ◽  
Author(s):  
SARGUR N. SRIHARI
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Nearest Neighbor ◽  
Pattern Discrimination ◽  
Handwritten Numeral Recognition ◽  
Neural Network Classification ◽  
Interpretation System ◽  
Numeral Recognition ◽  
Number Of Classes ◽  
Digit Pair

A gradation of pattern discrimination problems is encountered in interpreting handwritten postal addresses. There are several multiclass discrimination problems, including handwritten numeral recognition with 10 classes, alphanumeral recognition with 36 classes, and touching-digit pair recognition with 100 classes. Word recognition with a lexicon is a problem where the number of classes varies from a few to about a thousand. Some of the discrimination techniques, particularly those with few classes, lend themselves well to neural network classification, while others are better handled by Bayesian polynomial and nearest-neighbor methods. This paper describes each of the discrimination problems and the performances of each of the subsystems in a handwritten address interpretation system developed at CEDAR.

scholarly journals DEVELOPMENT OF AN INTELLIGENT SYSTEM FOR SIGN LANGUAGE INTERPRETATION «JS1» WITH TOOLS OF THE COMPUTER VISION LIBRARY OPENCV

2019 ◽  
Vol 7 ◽  
pp. 38-41
Author(s):  
Artem Sharapov ◽  
Ruslan Grishin
Keyword(s):  
Computer Vision ◽  
Sign Language ◽  
Public Libraries ◽  
Intelligent System ◽  
Specialized Software ◽  
Language Interpretation ◽  
Interpretation System

The possibility of using computer vision libraries for sign language interpretation. The specialized software required for the development of sign language interpretation system is analyzed. The configuration and testing of public libraries of computer vision are carried out.

scholarly journals IoT Based Sign Language Interpretation System

2019 ◽  
Vol 1362 ◽  
pp. 012034 ◽  
Author(s):  
Golda Jeyasheeli P ◽  
Annapoorani K Miss
Keyword(s):  
Sign Language ◽  
Language Interpretation ◽  
Interpretation System
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