Design and Implementation of Sign Language Translation Program Using Motion Recognition
Jongwon Lee,Dept of Multimedia Engineering, Andong National University, Andong, Korea
SeongKyeong Heo,Dept of Multimedia Engineering, Andong National University, Andong, Korea
Dongchae Baek,Dept of Multimedia Engineering, Andong National University, Andong, Korea
Eunju Park,Dept of Multimedia Engineering, Andong National University, Andong, Korea
Hankyu Lim,Dept of Multimedia Engineering, Andong National University, Andong, Korea
Hyunji Ahn,Dept of Multimedia Engineering, Andong National University, Andong, Korea
About 5% of world population, 466million people in figure (432million adults and 34 million children), have the hearing impairment. Most people with hearing impairment use sign language as a means to communicate not only with people without disability but also with people with disability. However, there are hundreds of different sign languages and most people without disability do not know how to use sign language at all. Thus, it is difficult for people without disability to communicate with people with hearing impairment in daily living. This study aims to help those with hearing impairment for easier communication. To do this, this study designed a sign language translation program and implemented some of the design to recognize the user's motion by using motion recognition sensors and translating the recognized motions after finding the right words for the motions followed by displaying the words on the screen.
Hearing impairment communication, Motion recognition, Sign language translation, Smart gloves, Voice recognition
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© 2019 Hankyu Lim et al. Published by Global Vision Press. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CCBY4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.