DocumentCode :
3729529
Title :
Sign language learning based on Android for deaf and speech impaired people
Author :
Setiawardhana;Rizky Yuniar Hakkun;Achmad Baharuddin
Author_Institution :
Informatic &
fYear :
2015
Firstpage :
114
Lastpage :
117
Abstract :
People who have physical limitations often encountered in life. Deaf and speech impaired have limitations in terms of communication. Researchers are keen to develop a technology translator is able to translate sign language into written language. Growing technology is still limited to the PC-based translator. Researchers are interested in developing the mobile translator shaped because of its simplicity that can be brought in mobile. This research is making an Android-based application that can directly interpret sign language submitted by deaf speech into written language. Translation process begins from the hand detection using Opencv and translation of hand signals with the K-NN classification. Tutorial features added in this application with the aim to train intensively to users in the use of sign language.
Keywords :
"Gesture recognition","Assistive technology","Smart phones","Speech","Object detection","Testing","Tutorials"
Publisher :
ieee
Conference_Titel :
Electronics Symposium (IES), 2015 International
Print_ISBN :
978-1-4673-9344-7
Type :
conf
DOI :
10.1109/ELECSYM.2015.7380825
Filename :
7380825
Link To Document :
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