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Zone-level occupancy counting with existing infrastructure

Published: 06 November 2012 Publication History

Abstract

Through accurate and dynamic occupancy detection, building actuation systems can fine tune the targets of their actions to better fit the patterns of usage in modern buildings. We outline a method for achieving this through existing wireless infrastructure and present a demonstration of its viability in a corporate environment.

References

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Lu, J., Sookoor, T., Srinivasan, V., Gao, G., Holben, B., Stankovic, J., Field, E., and Whitehouse, K. The smart thermostat: using occupancy sensors to save energy in homes. In SenSys (2010).
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Nedevschi, S., Chandrashekar, J., Liu, J., Nordman, B., Ratnasamy, S., and Taft, N. Skilled in the art of being idle: reducing energy waste in networked systems. In NSDI'09 (2009).
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Published In

cover image ACM Conferences
BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
November 2012
227 pages
ISBN:9781450311700
DOI:10.1145/2422531

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2012

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Overall Acceptance Rate 148 of 500 submissions, 30%

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  • (2023)Low-cost system for analysis pedestrian flow from an aerial view using Near-Infrared, Microwave, and Temperature sensorsHardwareX10.1016/j.ohx.2023.e0040313(e00403)Online publication date: Mar-2023
  • (2022)An Effective Implementation of Autonomous Attendance System using Convolution Neural NetworksInternational Journal of Innovative Technology and Exploring Engineering10.35940/ijitee.G9953.061172211:7(1-6)Online publication date: 30-Jun-2022
  • (2022)Pedestrian Counting Based on Piezoelectric Vibration SensorApplied Sciences10.3390/app1204192012:4(1920)Online publication date: 12-Feb-2022
  • (2021)Uncertainties in Structural Behavior for Model-Based Occupant Localization Using Floor VibrationsFrontiers in Built Environment10.3389/fbuil.2021.6021187Online publication date: 9-Apr-2021
  • (2021)Increasing occupant localization precision through identification of footstep-contact dynamicsAdvanced Engineering Informatics10.1016/j.aei.2021.10136750(101367)Online publication date: Oct-2021
  • (2021)Using footstep-induced vibrations for occupant detection and recognition in buildingsAdvanced Engineering Informatics10.1016/j.aei.2021.10128949(101289)Online publication date: Aug-2021
  • (2020)Survey of Non-Image-Based Approaches for Counting PeopleIEEE Communications Surveys & Tutorials10.1109/COMST.2019.290282422:2(1305-1336)Online publication date: Oct-2021
  • (2020)Detection and analysis of anomalies in people density and mobility through wireless smartphone trackingIEEE Access10.1109/ACCESS.2020.2979367(1-1)Online publication date: 2020
  • (2020)Behavioral Modeling Based on Cloud Computing and Target User Recommendation for English Cloud ClassroomMicroprocessors and Microsystems10.1016/j.micpro.2020.103587(103587)Online publication date: Dec-2020
  • (2020)Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solutionApplied Computing and Informatics10.1016/j.aci.2018.12.00117:2(279-295)Online publication date: 11-Sep-2020
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