research-article

IODetector: a generic service for indoor outdoor detection

Authors:

Yuanqing Zheng,

Guobin ShenAuthors Info & Claims

SenSys '12: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems

Pages 113 - 126

https://doi.org/10.1145/2426656.2426668

Published: 06 November 2012 Publication History

Abstract

The location and context switching, especially the indoor/outdoor switching, provides essential and primitive information for upper layer mobile applications. In this paper, we present IODetector: a lightweight sensing service which runs on the mobile phone and detects the indoor/outdoor environment in a fast, accurate, and efficient manner. Constrained by the energy budget, IODetector leverages primarily lightweight sensing resources including light sensors, magnetism sensors, celltower signals, etc. For universal applicability, IODetector assumes no prior knowledge (e.g., fingerprints) of the environment and uses only on-board sensors common to mainstream mobile phones. Being a generic and lightweight service component, IODetector greatly benefits many location-based and context-aware applications. We prototype the IODetector on Android mobile phones and evaluate the system comprehensively with data collected from 19 traces which include 84 different places during one month period, employing different phone models. We further perform a case study where we make use of IODetector to instantly infer the GPS availability and localization accuracy in different indoor/outdoor environments.

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Index Terms

IODetector: a generic service for indoor outdoor detection
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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cover image ACM Conferences

SenSys '12: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems

November 2012

404 pages

ISBN:9781450311694

DOI:10.1145/2426656

General Chair:
Rasit Eskicioglu
University of Manitoba
,
Program Chairs:
Andrew Campbell
Dartmouth College
,
Koen Langendoen
Delft University of Technology

Copyright © 2012 ACM.

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Published: 06 November 2012

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SenSys '12: The 10th ACM Conference on Embedded Network Sensor Systems

November 6 - 9, 2012

Ontario, Toronto, Canada

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Overall Acceptance Rate 174 of 867 submissions, 20%

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https://doi.org/10.3390/rs16183511
Yu FZhang GWang HJin DLi Y(2024)Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration FrameworkACM Transactions on Intelligent Systems and Technology10.1145/366348415:5(1-25)Online publication date: 13-Jun-2024
https://dl.acm.org/doi/10.1145/3663484
Serbouh CNjima WAhriz I(2024)Generative Adversarial Networks based Data Recovery for Indoor Localization2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10571259(1-6)Online publication date: 21-Apr-2024
https://doi.org/10.1109/WCNC57260.2024.10571259
I-Hao LDong-Soo H(2024)Optimizing GNSS Indoor Outdoor Detection: Balancing Observation Window and Sampling for Accuracy and Responsiveness2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN62893.2024.10786149(1-6)Online publication date: 14-Oct-2024
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Zhu J(2024)A Big Data-Driven Unsupervised Indoor and Outdoor Detection Approach Using Deep Contrastive Learning2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE)10.1109/ICCECE61317.2024.10504196(285-288)Online publication date: 12-Jan-2024
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Bilal Akram Dastagir MTariq OHan D(2024)TabCLR: Contrastive Learning Representation of Tabular Data Classification for Indoor-Outdoor DetectionIEEE Access10.1109/ACCESS.2024.342782512(102505-102520)Online publication date: 2024
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Abdollahi MMashhadi SSabzalizadeh RMirzaei AElahi MBaharloo MBaniasadi A(2023)IODnet: Indoor/Outdoor Telecommunication Signal Detection through Deep Neural Network2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)10.1109/MCSoC60832.2023.00028(134-141)Online publication date: 18-Dec-2023
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