{"title":"基于Android的聋人及言语障碍者手语学习","authors":"Setiawardhana, R. Hakkun, Achmad Baharuddin","doi":"10.1109/ELECSYM.2015.7380825","DOIUrl":null,"url":null,"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.","PeriodicalId":248906,"journal":{"name":"2015 International Electronics Symposium (IES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Sign language learning based on Android for deaf and speech impaired people\",\"authors\":\"Setiawardhana, R. Hakkun, Achmad Baharuddin\",\"doi\":\"10.1109/ELECSYM.2015.7380825\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":248906,\"journal\":{\"name\":\"2015 International Electronics Symposium (IES)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Electronics Symposium (IES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELECSYM.2015.7380825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Electronics Symposium (IES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELECSYM.2015.7380825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sign language learning based on Android for deaf and speech impaired people
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.