{"title":"巴西手语多媒体绞刑游戏:一个教育和包容性应用的原型","authors":"R. Madeo","doi":"10.1145/2049536.2049623","DOIUrl":null,"url":null,"abstract":"This paper presents a prototype of an educative and inclusive application: the Brazilian Sign Language Multimedia Hangman Game. This application aims to estimulate people, specially children, deaf or not, to learn a sign language and to help deaf people to improve their vocabulary in an oral language. The differential of this game is that its input consists of videos of the user performing signs from Brazilian Sign Language corresponding to Latin alphabet letters, recorded through the game graphical interface. These videos are processed by a computer vision module in order to recognize the letter to which the sign corresponds, using a recognition strategy based on primitives - hand configuration, movement and orientation, reaching 84.3% accuracy.","PeriodicalId":351090,"journal":{"name":"The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility","volume":"58 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Brazilian sign language multimedia hangman game: a prototype of an educational and inclusive application\",\"authors\":\"R. Madeo\",\"doi\":\"10.1145/2049536.2049623\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a prototype of an educative and inclusive application: the Brazilian Sign Language Multimedia Hangman Game. This application aims to estimulate people, specially children, deaf or not, to learn a sign language and to help deaf people to improve their vocabulary in an oral language. The differential of this game is that its input consists of videos of the user performing signs from Brazilian Sign Language corresponding to Latin alphabet letters, recorded through the game graphical interface. These videos are processed by a computer vision module in order to recognize the letter to which the sign corresponds, using a recognition strategy based on primitives - hand configuration, movement and orientation, reaching 84.3% accuracy.\",\"PeriodicalId\":351090,\"journal\":{\"name\":\"The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility\",\"volume\":\"58 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2049536.2049623\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2049536.2049623","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Brazilian sign language multimedia hangman game: a prototype of an educational and inclusive application
This paper presents a prototype of an educative and inclusive application: the Brazilian Sign Language Multimedia Hangman Game. This application aims to estimulate people, specially children, deaf or not, to learn a sign language and to help deaf people to improve their vocabulary in an oral language. The differential of this game is that its input consists of videos of the user performing signs from Brazilian Sign Language corresponding to Latin alphabet letters, recorded through the game graphical interface. These videos are processed by a computer vision module in order to recognize the letter to which the sign corresponds, using a recognition strategy based on primitives - hand configuration, movement and orientation, reaching 84.3% accuracy.