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Detecting intra-room mobility with signal strength descriptors

Authors:

Konstantinos Kleisouris,

Bernhard Firner,

Richard Howard,

Richard P. MartinAuthors Info & Claims

MobiHoc '10: Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing

Pages 71 - 80

https://doi.org/10.1145/1860093.1860104

Published: 20 September 2010 Publication History

Abstract

We explore the problem of detecting whether a device has moved within a room. Our approach relies on comparing summaries of received signal strength measurements over time, which we call descriptors. We consider descriptors based on the differences in the mean, standard deviation, and histogram comparison. In close to 1000 mobility events we conducted, our approach delivers perfect recall and near perfect precision for detecting mobility at a granularity of a few seconds. It is robust to the movement of dummy objects near the transmitter as well as people moving within the room. The detection is successful because true mobility causes fast fading, while environmental mobility causes shadow fading, which exhibit considerable difference in signal distributions. The ability to produce good detection accuracy throughout the experiments also demonstrates that our approach can be applied to varying room environments and radio technologies, thus enabling novel security, health care, and inventory control applications.

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Cited By

Han WLi WQi Y(2022)Research on Multi-Path Tracking and Selection Algorithm for Wi-Fi Signals2022 2nd International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA)10.1109/ICEITSA57468.2022.00014(24-30)Online publication date: Dec-2022
https://doi.org/10.1109/ICEITSA57468.2022.00014
Yang ZQian KWu CZhang YYang ZQian KWu CZhang Y(2021)Passive Human Detection with Wi-FiSmart Wireless Sensing10.1007/978-981-16-5658-3_3(25-45)Online publication date: 28-Oct-2021
https://doi.org/10.1007/978-981-16-5658-3_3
Mu KLuan TZhu LCai LGao L(2020)A Survey of Handy See-Through Wall TechnologyIEEE Access10.1109/ACCESS.2020.29912018(82951-82971)Online publication date: 2020
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Index Terms

Detecting intra-room mobility with signal strength descriptors
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

cover image ACM Conferences

MobiHoc '10: Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing

September 2010

272 pages

ISBN:9781450301831

DOI:10.1145/1860093

General Chair:
Nitin Vaidya
University of Illinois at Urbana-Champaign, USA
,
Program Chairs:
Christoph Lindemann
Universität Leipzig
,
Jitendra Padhye
Microsoft Research

Copyright © 2010 ACM.

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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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2010

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MobiCom/MobiHoc '10

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SIGMOBILE

MobiCom/MobiHoc '10: The 16th Annual International Conference on Mobile Computing and Networking and The 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing

September 20 - 24, 2010

Illinois, Chicago, USA

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Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Cited By

Han WLi WQi Y(2022)Research on Multi-Path Tracking and Selection Algorithm for Wi-Fi Signals2022 2nd International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA)10.1109/ICEITSA57468.2022.00014(24-30)Online publication date: Dec-2022
https://doi.org/10.1109/ICEITSA57468.2022.00014
Yang ZQian KWu CZhang YYang ZQian KWu CZhang Y(2021)Passive Human Detection with Wi-FiSmart Wireless Sensing10.1007/978-981-16-5658-3_3(25-45)Online publication date: 28-Oct-2021
https://doi.org/10.1007/978-981-16-5658-3_3
Mu KLuan TZhu LCai LGao L(2020)A Survey of Handy See-Through Wall TechnologyIEEE Access10.1109/ACCESS.2020.29912018(82951-82971)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2991201
Wang ZLin LWang RWei BXu YJiang ZLi R(2020)Activity Recognition and Classification via Deep Neural NetworksTestbeds and Research Infrastructures for the Development of Networks and Communications10.1007/978-3-030-43215-7_15(213-228)Online publication date: 5-Mar-2020
https://doi.org/10.1007/978-3-030-43215-7_15
Ding HHan JLiu AXi WZhao JYang PJiang Z(2019)Counting Human Objects Using Backscattered Radio Frequency SignalsIEEE Transactions on Mobile Computing10.1109/TMC.2018.285262718:5(1054-1067)Online publication date: 1-May-2019
https://doi.org/10.1109/TMC.2018.2852627
Zhanbyrtayev MArdakanian ONikolaidis I(2019)Device Mobility Detection Based on Optical Flow and Multi-Receiver Consensus2019 IEEE SENSORS10.1109/SENSORS43011.2019.8956541(1-4)Online publication date: Oct-2019
https://doi.org/10.1109/SENSORS43011.2019.8956541
Guo LGuo SWang LLin CLiu JLu BFang JLiu ZShan ZYang J(2019)Wiar: A Public Dataset for Wifi-Based Activity RecognitionIEEE Access10.1109/ACCESS.2019.29470247(154935-154945)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2947024
Guo LWang LLiu JZhou WLu B(2018)HuAcWireless Communications & Mobile Computing10.1155/2018/61634752018Online publication date: 11-Jan-2018
https://dl.acm.org/doi/10.1155/2018/6163475
Xin TGuo BWang ZWang PLam JLi VYu Z(2018)FreeSenseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32649532:3(1-23)Online publication date: 18-Sep-2018
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Liu HWang YLiu JYang JChen YPoor H(2018)Authenticating Users Through Fine-Grained Channel InformationIEEE Transactions on Mobile Computing10.1109/TMC.2017.271854017:2(251-264)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1109/TMC.2017.2718540
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