Indonesian Sign Language Recognition Using Leap Motion Controller

被引：0
|
作者：
Wibowo, Midarto Dwi [1 ]
Nurtanio, Ingrid [1 ]
Ilham, Amil Ahmad [1 ]
机构：
[1] Hasanuddin Univ, Dept Elect Engn, Makassar, Indonesia
来源：
PROCEEDINGS OF 2017 11TH INTERNATIONAL CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGY AND SYSTEMS (ICTS) | 2017年
关键词：
Gesture Recognation; Sign Language; Naive Bayesian; Leap Motion Controller; Deaf Education;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Gesture Recognition is one of computer science and language technology's topic, the purpose is to interpreting human movement through mathematical algorithms. In this case it can be used as a translation medium for the deaf to communicate. The main obstacle of deaf nowadays is their difficulty in communicating with not deaf peoples. It happens because there is no compulsory learning at the level of education for not deaf peoples to learn sign language. The research method is Naive Bayesian algorithm, in order to classify 26 alphabet letter of sign language except letter J and Z using feature derived from Leap Motion Controller data. The accuracy level of the test result reached 95%.
引用
收藏
页码：67 / 71
页数：5
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