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ARIEL: automatic wi-fi based room fingerprinting for indoor localization

Published: 05 September 2012 Publication History

Abstract

People spend the majority of their time indoors, and human indoor activities are strongly correlated with the rooms they are in. Room localization, which identifies the room a person or mobile phone is in, provides a powerful tool for characterizing human indoor activities and helping address challenges in public health, productivity, building management, etc. Existing room localization methods, however, require labor-intensive manual annotation of individual rooms.
We present ARIEL, a room localization system that automatically learns room fingerprints based on occupants' indoor movements. ARIEL consists of (1) a zone-based clustering algorithm that accurately identifies in-room occupancy "hotspot(s)" using Wi-Fi signatures; (2) a motion-based clustering algorithm to identify inter-zone correlation, thereby distinguishing different rooms; and (3) an energy-efficient motion detection algorithm to minimize the noise of Wi-Fi signatures. ARIEL has been implemented and deployed for real-world testing with 21 users over a 10-month period. Our studies show that it supports room localization with higher than 95% accuracy without requiring labor-intensive manual annotation.

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  • (2024)AirTags for Human Localization, Not Just ObjectsProceedings of the 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies10.1145/3681768.3698497(13-18)Online publication date: 29-Oct-2024
  • (2024)SyncEcho: Echo-Based Single Speaker Time Offset Estimation for Time-of-Flight LocalizationProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699369(718-729)Online publication date: 4-Nov-2024
  • (2024)Camera-Based Position Estimation using Frequency-Multiplexed Luminance Gradient2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503176(475-480)Online publication date: 11-Mar-2024
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cover image ACM Conferences
UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing
September 2012
1268 pages
ISBN:9781450312240
DOI:10.1145/2370216
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: 05 September 2012

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Ubicomp '12
Ubicomp '12: The 2012 ACM Conference on Ubiquitous Computing
September 5 - 8, 2012
Pennsylvania, Pittsburgh

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UbiComp '12 Paper Acceptance Rate 58 of 301 submissions, 19%;
Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2024)AirTags for Human Localization, Not Just ObjectsProceedings of the 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies10.1145/3681768.3698497(13-18)Online publication date: 29-Oct-2024
  • (2024)SyncEcho: Echo-Based Single Speaker Time Offset Estimation for Time-of-Flight LocalizationProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699369(718-729)Online publication date: 4-Nov-2024
  • (2024)Camera-Based Position Estimation using Frequency-Multiplexed Luminance Gradient2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503176(475-480)Online publication date: 11-Mar-2024
  • (2024)DeepMetricFi: Improving Wi-Fi Fingerprinting Localization by Deep Metric LearningIEEE Internet of Things Journal10.1109/JIOT.2023.331528911:4(6961-6971)Online publication date: 15-Feb-2024
  • (2024)A Framework for Real-Time Localization in Constrained Devices Connected to the IoT2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)10.1109/CONECCT62155.2024.10677241(1-5)Online publication date: 12-Jul-2024
  • (2024)Region Clustering based Fingerprint Model for Flexible Wi-Fi FingerprintingExpert Systems with Applications10.1016/j.eswa.2024.123389(123389)Online publication date: Feb-2024
  • (2023)A Novel Optimized iBeacon Localization Algorithm ModelingSensors10.3390/s2314656023:14(6560)Online publication date: 20-Jul-2023
  • (2023)Smart Card Auto-Selection Using GPS and WiFi Fingerprints for Smartphones2023 19th International Conference on Mobility, Sensing and Networking (MSN)10.1109/MSN60784.2023.00104(714-721)Online publication date: 14-Dec-2023
  • (2023)MetaLoc: Learning to Learn Wireless LocalizationIEEE Journal on Selected Areas in Communications10.1109/JSAC.2023.332276641:12(3831-3847)Online publication date: Dec-2023
  • (2023)Enabling Temporal Variation Resilience for ML-Based Indoor LocalizationMachine Learning for Indoor Localization and Navigation10.1007/978-3-031-26712-3_16(379-421)Online publication date: 19-Mar-2023
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