Card-Stunt as a Service: Empowering a Massively Packed Crowd for Instant Collective Expressiveness

GetMobile Mob. Comput. Commun. Pub Date : 2018-02-28 DOI:10.1145/3191789.3191797

Chungkuk Yoo, Inseok Hwang, Seungwoo Kang, Myung-Chul Kim, Seonghoon Kim, Daeyoung Won, Yu Gu, Junehwa Song

{"title":"Card-Stunt as a Service: Empowering a Massively Packed Crowd for Instant Collective Expressiveness","authors":"Chungkuk Yoo, Inseok Hwang, Seungwoo Kang, Myung-Chul Kim, Seonghoon Kim, Daeyoung Won, Yu Gu, Junehwa Song","doi":"10.1145/3191789.3191797","DOIUrl":null,"url":null,"abstract":"Excerpted from \"Card-stunt as a Service: Empowering a Massively Packed Crowd for Instant Collective Expressiveness\" from MobiSys 2017, Proceedings of the 15th Annual ACM International Conference on Mobile Systems, Applications, and Services, with permission. https://dl.acm.org/ citation.cfm?id=3081357 © ACM 2017.\n Imagine a densely packed crowd with a common voice, such as people in a candlelight vigil or a protest. We envision an innovation through mobile computing technologies to empower such crowds. We present Card-stunt as a Service (CaaS), a mobile service allowing them to instantly create a massive collective visualization by simply holding their phones up. The key challenge is to achieve instant, infrastructurefree, decimeter-level localization of individuals in a massively packed crowd, within a low latency. CaaS addresses the challenges by mobile visible-light sensing and scalable constrained optimization. Within less than a minute, each person is given individualized pixels so that they can do their part in the overall visualization*.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GetMobile Mob. Comput. Commun.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3191789.3191797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

Abstract

Excerpted from "Card-stunt as a Service: Empowering a Massively Packed Crowd for Instant Collective Expressiveness" from MobiSys 2017, Proceedings of the 15th Annual ACM International Conference on Mobile Systems, Applications, and Services, with permission. https://dl.acm.org/ citation.cfm?id=3081357 © ACM 2017. Imagine a densely packed crowd with a common voice, such as people in a candlelight vigil or a protest. We envision an innovation through mobile computing technologies to empower such crowds. We present Card-stunt as a Service (CaaS), a mobile service allowing them to instantly create a massive collective visualization by simply holding their phones up. The key challenge is to achieve instant, infrastructurefree, decimeter-level localization of individuals in a massively packed crowd, within a low latency. CaaS addresses the challenges by mobile visible-light sensing and scalable constrained optimization. Within less than a minute, each person is given individualized pixels so that they can do their part in the overall visualization*.

查看原文本刊更多论文

卡特技作为一种服务:授权大量拥挤的人群即时集体表达

摘自MobiSys 2017年第15届ACM移动系统、应用和服务国际会议论文集《Card-stunt as a Service: Empowering a massive Packed Crowd for Instant Collective expressive》，经许可。https://dl.acm.org/ citation.cfm吗?id=3081357©ACM 2017。想象一下，一群人聚集在一起，发出共同的声音，比如烛光守夜或抗议。我们设想通过移动计算技术进行创新，以增强这些人群的能力。我们提供卡特技即服务(CaaS)，这是一项移动服务，允许他们通过简单地举起手机立即创建一个大规模的集体可视化。关键的挑战是在低延迟的情况下，在大量拥挤的人群中实现即时、无基础设施、分米级的个人定位。CaaS解决了移动可见光传感和可扩展约束优化的挑战。在不到一分钟的时间里，每个人都得到了个性化的像素，这样他们就可以在整个可视化中发挥自己的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

GetMobile Mob. Comput. Commun.

自引率

0.00%

发文量