research-article

Doorjamb: unobtrusive room-level tracking of people in homes using doorway sensors

Authors:

Timothy W. Hnat,

Erin Griffiths,

Kamin WhitehouseAuthors Info & Claims

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

Pages 309 - 322

https://doi.org/10.1145/2426656.2426687

Published: 06 November 2012 Publication History

Abstract

Indoor tracking systems will be an essential part of the home of the future, enabling location-aware and individually-tailored services. However, today there are no tracking solutions that are practical for "every day" use in the home. In this paper, we introduce the Doorjamb tracking system that uses ultrasonic range finders mounted above each doorway, pointed downward to sense people as they walk through the doorway. The system differentiates people by measuring their heights, infers their walking direction using signal processing, and identifies their room locations based on the sequence of doorways through which they pass. Doorjamb provides room-level tracking without requiring any user participation, wearable devices, privacy-intrusive sensors, or high-cost sensors. We create a proof-of-concept implementation and empirically evaluate Doorjamb with experiments that include over 3000 manually-recorded doorway crossings. Results indicate that the system can perform room-level tracking with 90% accuracy on average.

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Cited By

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https://doi.org/10.1109/TIM.2024.3457937
Oosterlee OXu TZamalloa M(2022)Inti: Indoor Tracking with Solar CellsProceedings of the 2022 INTERNATIONAL CONFERENCE ON EMBEDDED WIRELESS SYSTEMS AND NETWORKS10.5555/3578948.3578961(138-149)Online publication date: 2-Dec-2022
https://dl.acm.org/doi/10.5555/3578948.3578961
Torrens P(2022)Smart and Sentient Retail High StreetsSmart Cities10.3390/smartcities50400855:4(1670-1720)Online publication date: 29-Nov-2022
https://doi.org/10.3390/smartcities5040085
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Index Terms

Doorjamb: unobtrusive room-level tracking of people in homes using doorway sensors
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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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.

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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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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Cited By

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https://doi.org/10.1109/TIM.2024.3457937
Oosterlee OXu TZamalloa M(2022)Inti: Indoor Tracking with Solar CellsProceedings of the 2022 INTERNATIONAL CONFERENCE ON EMBEDDED WIRELESS SYSTEMS AND NETWORKS10.5555/3578948.3578961(138-149)Online publication date: 2-Dec-2022
https://dl.acm.org/doi/10.5555/3578948.3578961
Torrens P(2022)Smart and Sentient Retail High StreetsSmart Cities10.3390/smartcities50400855:4(1670-1720)Online publication date: 29-Nov-2022
https://doi.org/10.3390/smartcities5040085
Yu YQin XHussain SHou WWeis T(2022)Pedestrian Counting Based on Piezoelectric Vibration SensorApplied Sciences10.3390/app1204192012:4(1920)Online publication date: 12-Feb-2022
https://doi.org/10.3390/app12041920
Rosyady PFajeri FAgustian M(2022)Pengukuran Kedalaman dan Koordinat Jalan Berlubang Menggunakan Sensor Ultrasonik dan GPS Berbasis Internet Of Things (IoT)AVITEC10.28989/avitec.v4i1.10614:1(1)Online publication date: 12-Jan-2022
https://doi.org/10.28989/avitec.v4i1.1061
Li YCheng TDhekne A(2022)Travelogue: Representing Indoor Trajectories as Informative ArtExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519834(1-7)Online publication date: 27-Apr-2022
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Langer TWaschneck BPartzsch JKelber FMayr C(2022)Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different Machine Learning Approaches2022 26th International Conference on Pattern Recognition (ICPR)10.1109/ICPR56361.2022.9955643(755-761)Online publication date: 21-Aug-2022
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Schott DSaphala AFischer GXiong WGabbrielli ABordoy JHöflinger FFischer KSchindelhauer CRupitsch S(2021)Comparison of Direct Intersection and Sonogram Methods for Acoustic Indoor Localization of PersonsSensors10.3390/s2113446521:13(4465)Online publication date: 29-Jun-2021
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Kompara TPerš JSusič DGams M(2021)A One-Dimensional Non-Intrusive and Privacy-Preserving Identification System for HouseholdsElectronics10.3390/electronics1005055910:5(559)Online publication date: 27-Feb-2021
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