卡特技作为一种服务:授权大量拥挤的人群即时集体表达

Chungkuk Yoo, Inseok Hwang, Seungwoo Kang, Myung-Chul Kim, Seonghoon Kim, Daeyoung Won, Yu Gu, Junehwa Song
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引用次数: 12

摘要

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