{"title":"CamScan,一个为视力受损的用户识别日常物品的应用程序","authors":"Rodrigo Capa-Arnao, C. Manresa-Yee, Ramon Mas","doi":"10.1145/2829875.2829889","DOIUrl":null,"url":null,"abstract":"Technology can help users with blindness or vision impairments to overcome everyday challenges. Furthermore, the widespread acceptance and use of mobile phones, makes it suitable to develop accessible technologies on these devices. One common problem that users with vision impairments face is the identification of everyday objects, especially when these objects have a similar shape as others (e.g. cans, CDs). Different works have tackled this problem including object recognition and remote workers on the internet who answer questions on the image sent. This work approaches this problem and presents new features with the aim of bringing new capture possibilities and then discusses the findings","PeriodicalId":137603,"journal":{"name":"Proceedings of the XVI International Conference on Human Computer Interaction","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"CamScan, an Application to Identify Everyday Objects for Users with Vision Impairments\",\"authors\":\"Rodrigo Capa-Arnao, C. Manresa-Yee, Ramon Mas\",\"doi\":\"10.1145/2829875.2829889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Technology can help users with blindness or vision impairments to overcome everyday challenges. Furthermore, the widespread acceptance and use of mobile phones, makes it suitable to develop accessible technologies on these devices. One common problem that users with vision impairments face is the identification of everyday objects, especially when these objects have a similar shape as others (e.g. cans, CDs). Different works have tackled this problem including object recognition and remote workers on the internet who answer questions on the image sent. This work approaches this problem and presents new features with the aim of bringing new capture possibilities and then discusses the findings\",\"PeriodicalId\":137603,\"journal\":{\"name\":\"Proceedings of the XVI International Conference on Human Computer Interaction\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the XVI International Conference on Human Computer Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2829875.2829889\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the XVI International Conference on Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2829875.2829889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CamScan, an Application to Identify Everyday Objects for Users with Vision Impairments
Technology can help users with blindness or vision impairments to overcome everyday challenges. Furthermore, the widespread acceptance and use of mobile phones, makes it suitable to develop accessible technologies on these devices. One common problem that users with vision impairments face is the identification of everyday objects, especially when these objects have a similar shape as others (e.g. cans, CDs). Different works have tackled this problem including object recognition and remote workers on the internet who answer questions on the image sent. This work approaches this problem and presents new features with the aim of bringing new capture possibilities and then discusses the findings