{"title":"Anywhere touchtyping: text input on arbitrary surface using depth sensing","authors":"Adiyan Mujibiya, Takashi Miyaki, J. Rekimoto","doi":"10.1145/1866218.1866262","DOIUrl":null,"url":null,"abstract":"In this paper, touch typing enabled virtual keyboard system using depth sensing on arbitrary surface is proposed. Keystroke event detection is conducted using 3-dimensional hand appearance database matching combined with fingertip's surface touch sensing. Our prototype system acquired hand posture depth map by implementing phase shift algorithm for Digital Light Processor (DLP) fringe projection on arbitrary flat surface. The system robustly detects hand postures on the sensible surface with no requirement of hand position alignment on virtual keyboard frame. The keystroke feedback is the physical touch to the surface, thus no specific hardware must be worn. The system works real-time in average of 20 frames per second.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"61 1","pages":"443-444"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1866218.1866262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, touch typing enabled virtual keyboard system using depth sensing on arbitrary surface is proposed. Keystroke event detection is conducted using 3-dimensional hand appearance database matching combined with fingertip's surface touch sensing. Our prototype system acquired hand posture depth map by implementing phase shift algorithm for Digital Light Processor (DLP) fringe projection on arbitrary flat surface. The system robustly detects hand postures on the sensible surface with no requirement of hand position alignment on virtual keyboard frame. The keystroke feedback is the physical touch to the surface, thus no specific hardware must be worn. The system works real-time in average of 20 frames per second.