Design of SIBI Sign Language Recognition Using Artificial Neural Network Backpropagation

被引：0

作者：

Handayani, Anik Nur ^{[1
]}

Akbar, Muhammad Iqbal ^{[1
]}

Ar-Rosyid, Harits ^{[1
]}

Ilham, Muhammad ^{[1
]}

Asmara, Rosa Andrie ^{[2
]}

Fukuda, Osamu ^{[3
]}

机构：

[1] Univ Negeri Malang, Dept Elect Engn, Malang, Indonesia

[2] State Polytech Malang, Dept Informat Technol, Malang, Indonesia

[3] Saga Univ, Grad Sch Sci & Engn, Saga, Japan

来源：

2022 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT CYBERNETICS TECHNOLOGY & APPLICATIONS (ICICYTA) | 2022年

关键词：

sign language; SIBI; hand keypoints detection; image recognition; backpropagation;

D O I：

10.1109/ICICyTA57421.2022.10038205

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Humans communicate with one another in the form of language. However, in social life, not all humans, as well as deaf people, can communicate verbally well. They tend to communicate with others using sign language. One of the sign language systems in Indonesia is SIBI. In its application, there are many obstacles when deaf or speech-impaired people communicate with normal people. This happens because of the lack of understanding of sign language in people who do not have special needs. The existence of a sign language translator system can overcome these obstacles. The development of this system utilizes the Neural Network Backpropagation algorithm as its classification algorithm. This research aims to find the best combination of its parameters based on the obtained accuracy.

引用

页码：192 / 197

页数：6

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