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Demo: Real-time Detection for Multiple Occupancy and Near Real-time Hogging Detection

Published: 01 November 2015 Publication History

Abstract

In the public studying space, students sometimes hog seats. This behavior prevents others from access their needed seats, and requires man power to patrol and move stuffs from hogged seats to another place. In this paper, we present a capacitive sensor to check seat occupancy statuses in real-time (i.e. un-occupied, people occupying, and seat hogging). The device helps students to find available seats, and helps staffs to monitor seats usage remotely for better controlling over seat hogging problem without the need to patrol. Our experiment results show that the sensor can accurately detect seat occupancy. Moreover, it can clearly distinguish between human occupancy and seat hogging.

References

[1]
A. W. Y. LAU, E. Y. L. TAN, J. X. LEE, J. T. E. LIM, S. W. LEE, A. F. DIMIAN, Y. W. ISHAK, and V. ONG. Data from: Improve space and manpower utilisation. 2015.
[2]
A. S. Zeeman, M. J. Booysen, G. Ruggeri, and B. Laganá. Capacitive seat sensors for multiple occupancy detection using a low-cost setup. In Industrial Technology (ICIT), 2013 IEEE International Conference on, pages 1228--1233. IEEE, 2013.

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  1. Demo: Real-time Detection for Multiple Occupancy and Near Real-time Hogging Detection

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      Published In

      cover image ACM Conferences
      SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
      November 2015
      526 pages
      ISBN:9781450336314
      DOI:10.1145/2809695
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 November 2015

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      Author Tags

      1. capacitive sensing
      2. electric field sensing
      3. hogging detection
      4. inductive proximity sensing
      5. occupancy detection

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      • Demonstration

      Funding Sources

      • National Research Foundation Singapore, Interactive Digital Media (IDM) Strategic Research Programm

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      Acceptance Rates

      SenSys '15 Paper Acceptance Rate 27 of 132 submissions, 20%;
      Overall Acceptance Rate 174 of 867 submissions, 20%

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