Set and forget sensing with applets on IFTTT

Noah Klugman, P. Dutta
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引用次数: 0

Abstract

Rich data sets can be collected trivially by bootstrapping off mobile phones and cloud services. We describe an end-to-end system built with IFTTT that requires no code to collect arrival and departure times from a geographic area on the campus of the University of California, Berkeley. This system was configured and deployed in less than one half hour, cost nothing to deploy or run, and functioned without interruption for seven months, taking 463 measurements of a single participant. Along with providing the data set, which provides some insight into the working life of a graduate student, we describe each part of the system architecture and discuss how a model of sensing-as-an-applet enables data streams with de-facto standardized, high reliability, and close-to-no-barrier of entry.
设置和忘记感应与小程序在IFTTT上
通过启动移动电话和云服务,可以轻松收集丰富的数据集。我们描述了一个用IFTTT构建的端到端系统,它不需要代码来收集来自加州大学伯克利分校校园内地理区域的到达和离开时间。该系统在不到半小时的时间内完成了配置和部署,部署或运行成本为零,并且连续7个月没有中断,对单个参与者进行了463次测量。除了提供数据集(它提供了对研究生工作生活的一些见解)之外,我们还描述了系统架构的每个部分,并讨论了感知即applet模型如何使数据流具有事实上的标准化、高可靠性和接近无进入障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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