{"title":"Touch-less interaction smartphone on go!","authors":"Zhihan Lv, S. Réhman","doi":"10.1145/2542302.2542336","DOIUrl":null,"url":null,"abstract":"A smartphone touch-less interaction based on mixed hardware and software is proposed in this work. The software application renders circle menu application graphics and status information using smart phone's screen, audio. Augmented reality image rendering technology is employed for a convenient finger-phone interaction. The users interact with the application using finger gesture motion behind the camera, which trigger the interaction event and generate activity sequences for interactive buffers. The combination of Contour based Template Matching (CTM) and Tracking-Learning-Detection (TLD) provides a core support for hand-gesture interaction by accurately detecting and tracking the hand gesture.","PeriodicalId":269059,"journal":{"name":"SIGGRAPH Asia 2013 Posters","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH Asia 2013 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2542302.2542336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A smartphone touch-less interaction based on mixed hardware and software is proposed in this work. The software application renders circle menu application graphics and status information using smart phone's screen, audio. Augmented reality image rendering technology is employed for a convenient finger-phone interaction. The users interact with the application using finger gesture motion behind the camera, which trigger the interaction event and generate activity sequences for interactive buffers. The combination of Contour based Template Matching (CTM) and Tracking-Learning-Detection (TLD) provides a core support for hand-gesture interaction by accurately detecting and tracking the hand gesture.