Recognition of Sign Language using Capsule Networks

被引：0
|
作者：
Beser, Fuat [1 ]
Kizrak, Merve Ayyuce [1 ]
Bolat, Bulent [1 ]
Yildirim, Tulay [1 ]
机构：
[1] Yildiz Tekn Univ, Elekt & Haberlesme Muhendisligi, Istanbul, Turkey
来源：
2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2018年
关键词：
deep learning; deep neural networks; capsule networks; convolutional neural networks; sign language; sign language recognition;
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：
Hearing and speech impaired persons continue to communicate with the help of lip reading or hand and face movements also known as a sign language. Ensuring the disabled persons participation in life and increasing their quality of life are achievable through healthy and effective communication with other people. In this work; digits of the sign language were recognized with %94.2 validation accuracy by Capsule Networks.
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页数：4
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