{"title":"不同手语识别技术的研究","authors":"Vinit Khetani, Yatin Gandhi, Rashmi Patil","doi":"10.1109/CCGE50943.2021.9776399","DOIUrl":null,"url":null,"abstract":"Language is means of communicating and expressing by using sound wherein, Sign language is communicating through hand gesture, face expression, fingers movement. This sign language is for deaf and dump people. It is visual method to communicate. Very less work has been done on identification of sign language. This paper mainly focuses on comparative study of Sign Language techniques. It reviews different techniques for feature extraction and classification of Sign Language from video or images. Recognition of sign language from video is one of the challenging tasks as video has to be converted to frames and that frames can be used for identification. In future, we will propose a system which will identify gesture from Indian sign language.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Study on Different Sign Language Recognition Techniques\",\"authors\":\"Vinit Khetani, Yatin Gandhi, Rashmi Patil\",\"doi\":\"10.1109/CCGE50943.2021.9776399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Language is means of communicating and expressing by using sound wherein, Sign language is communicating through hand gesture, face expression, fingers movement. This sign language is for deaf and dump people. It is visual method to communicate. Very less work has been done on identification of sign language. This paper mainly focuses on comparative study of Sign Language techniques. It reviews different techniques for feature extraction and classification of Sign Language from video or images. Recognition of sign language from video is one of the challenging tasks as video has to be converted to frames and that frames can be used for identification. In future, we will propose a system which will identify gesture from Indian sign language.\",\"PeriodicalId\":130452,\"journal\":{\"name\":\"2021 International Conference on Computing, Communication and Green Engineering (CCGE)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computing, Communication and Green Engineering (CCGE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGE50943.2021.9776399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGE50943.2021.9776399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Different Sign Language Recognition Techniques
Language is means of communicating and expressing by using sound wherein, Sign language is communicating through hand gesture, face expression, fingers movement. This sign language is for deaf and dump people. It is visual method to communicate. Very less work has been done on identification of sign language. This paper mainly focuses on comparative study of Sign Language techniques. It reviews different techniques for feature extraction and classification of Sign Language from video or images. Recognition of sign language from video is one of the challenging tasks as video has to be converted to frames and that frames can be used for identification. In future, we will propose a system which will identify gesture from Indian sign language.