{"title":"Demo: A paper keyboard for mobile devices","authors":"Junjue Wang, Kaichen Zhao, Xinyu Zhang, Chunyi Peng","doi":"10.1145/2594368.2601476","DOIUrl":null,"url":null,"abstract":"A well-known bottleneck of contemporary mobile devices is the inefficient and error-prone touchscreen keyboard. We have developed UbiK, an alternative portable text-entry method that allows user to type on a piece of paper, placed on solid surfaces like wood desktop. UbiK leverages the microphones on a mobile device to accurately localize the keystrokes through fine-grained acoustic fingerprinting. We have implemented UbiK as an Android application. Our experiments demonstrate that UbiK is able to achieve above 95% of localization accuracy. In this demonstration, we will show how Ubik works with an external paper keyboard (Figure 1) for a smartphone and a 7-inch tablet. User participation will be welcome in this live demo.","PeriodicalId":131209,"journal":{"name":"Proceedings of the 12th annual international conference on Mobile systems, applications, and services","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th annual international conference on Mobile systems, applications, and services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2594368.2601476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A well-known bottleneck of contemporary mobile devices is the inefficient and error-prone touchscreen keyboard. We have developed UbiK, an alternative portable text-entry method that allows user to type on a piece of paper, placed on solid surfaces like wood desktop. UbiK leverages the microphones on a mobile device to accurately localize the keystrokes through fine-grained acoustic fingerprinting. We have implemented UbiK as an Android application. Our experiments demonstrate that UbiK is able to achieve above 95% of localization accuracy. In this demonstration, we will show how Ubik works with an external paper keyboard (Figure 1) for a smartphone and a 7-inch tablet. User participation will be welcome in this live demo.