Korean Sign Language Translation using Machine Learning

被引：0

作者：

Caliwag, Angela ^{[1
]}

Angsanto, Stephen Ryan ^{[2
]}

Lim, Wansu ^{[2
]}

机构：

[1] Kumoh Natl Inst Technol, Dept IT Convergence Engn, Gumi, South Korea

[2] Kumoh Natl Inst Technol, Dept Elect Engn, Gumi, South Korea

来源：

2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018) | 2018年

基金：

新加坡国家研究基金会;

关键词：

Korean Sign Language (KSL); AlexNet transfer learning; Machine Learning;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Advancement in technology provides a means of doings things that even humankind is incapable of doing. A sign language glove aims to help the hearing-impaired people to eliminate the boundary and communicate with other people even without knowledge in Sign Language. Applying Machine Learning in hand gesture recognition provides a smarter means of conveying information with high accuracy.

引用

页码：826 / 828

页数：3