B. Soewito, Alexander Khrisna Satyadhana, Raymond, Sarah Maria
{"title":"Communicaton On Mobile Phone For The Deaf Using Image Recognition","authors":"B. Soewito, Alexander Khrisna Satyadhana, Raymond, Sarah Maria","doi":"10.1109/ICIMTech50083.2020.9211126","DOIUrl":null,"url":null,"abstract":"Sign language is an absolute thing that is mastered by some people, especially people who have hearing or deaf problems. Problems will occur if they want to communicate via mobile devices. They have to use an application that translate sign language to text and vice versa. The research in this field still open because each language will have different sign language. In the other hand the image that was captured by the mobile devices depend on the environment such as brightness and the background. The sign language captured with static background has high accuracy compared with dynamic background that has colorful background. Most of research do not include the dynamic background. Therefore in this study introduced an application used image recognition that can translate sign language with dynamic background into a text so that it can be used to communicate among people who have hearing problems and also between deaf and normal people. The experimental showed that accuracy of our system is 87%.","PeriodicalId":407765,"journal":{"name":"2020 International Conference on Information Management and Technology (ICIMTech)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Information Management and Technology (ICIMTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMTech50083.2020.9211126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Sign language is an absolute thing that is mastered by some people, especially people who have hearing or deaf problems. Problems will occur if they want to communicate via mobile devices. They have to use an application that translate sign language to text and vice versa. The research in this field still open because each language will have different sign language. In the other hand the image that was captured by the mobile devices depend on the environment such as brightness and the background. The sign language captured with static background has high accuracy compared with dynamic background that has colorful background. Most of research do not include the dynamic background. Therefore in this study introduced an application used image recognition that can translate sign language with dynamic background into a text so that it can be used to communicate among people who have hearing problems and also between deaf and normal people. The experimental showed that accuracy of our system is 87%.