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Empirical Evaluation and Analysis of Real-Time Detection and Localization of Unexpected Events

Published: 18 February 2017 Publication History

Abstract

With the spread of smartphones, making use of crowd-sourcing approaches in everyday life became possible. In one study using smartphones, the authors previously proposed a crowd-sourced system called the Smart and Quick Unexpected-Event Detect (SQUED) system that used smartphone sensor data for the detection and localization of unexpected events. SQUED can detect the location and the time of an event using smartphone sensor data. In this paper, the authors describe our improved system named the Real-Time SQUED (RT-SQUED) system, which is based on our original SQUED system, to provide realtime detection and localization functionality. The authors also describe our empirical evaluation and analysis results on our realtime system to compensate for the lack of experimental data so far. It is shown that our real-time system can detect events faster under various conditions using a large amount of real-world data. In this paper, the usefulness of, and improvement points for the RT-SQUED system are also discussed.

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cover image ACM Other conferences
ICCAE '17: Proceedings of the 9th International Conference on Computer and Automation Engineering
February 2017
365 pages
ISBN:9781450348096
DOI:10.1145/3057039
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Macquarie U., Austarlia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 February 2017

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Author Tags

  1. Event detection
  2. crowd-sourced system
  3. global positioning system
  4. sensor data
  5. smartphones

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