{"title":"Grip-Ball: A spherical multi-touch interface for interacting with virtual worlds","authors":"Seungju Han, Joonah Park","doi":"10.1109/ICCE.2013.6487035","DOIUrl":null,"url":null,"abstract":"Graspable user interface (UI) is a useful method for interacting with virtual world. It allows users to hold and manipulate a device intuitively for manipulating virtual 3D objects. In this paper, we propose Grip-Ball as graspable UI, which is a spherical shaped device based upon capacitive multi-touch sensing. User's grip pattern can be recognized by measuring grip touch on the surface of the device. In the study, we define 5 hand-grip patterns of the Grip-Ball according to user's purpose (platform, power-grip and precise-grip) and number of hand (one-handed grip, two-handed grip). An accuracy of up to 98% could be achieved for hand grip recognition.","PeriodicalId":6432,"journal":{"name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","volume":"5 1","pages":"600-601"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2013.6487035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Graspable user interface (UI) is a useful method for interacting with virtual world. It allows users to hold and manipulate a device intuitively for manipulating virtual 3D objects. In this paper, we propose Grip-Ball as graspable UI, which is a spherical shaped device based upon capacitive multi-touch sensing. User's grip pattern can be recognized by measuring grip touch on the surface of the device. In the study, we define 5 hand-grip patterns of the Grip-Ball according to user's purpose (platform, power-grip and precise-grip) and number of hand (one-handed grip, two-handed grip). An accuracy of up to 98% could be achieved for hand grip recognition.
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