demonstration

Automatic calibration of magnetic tracking

Authors:

Yasha Iravantchi,

Alanson Sample,

Dongyao ChenAuthors Info & Claims

MobiCom '22: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

Pages 391 - 404

https://doi.org/10.1145/3495243.3558760

Published: 14 October 2022 Publication History

Abstract

Magnetic sensing is emerging as an enabling technology for various engaging applications. Representative use cases include high-accuracy posture tracking, human-machine interaction, and haptic sensing. This technology uses multiple MEMS magnetometers to capture the changing magnetic field at a close distance. However, magnetometers are susceptible to real-world disturbances, such as hard- and soft-iron effects. As a result, users need to perform a cumbersome and lengthy calibration process frequently, severely limiting the usability of magnetic tracking.

To remove/mitigate this limitation, we propose MAGIC (MAGnetometer automatIc Calibration), a systematic framework to automatically calibrate both soft- and hard-iron disturbances for a MEMS magnetometer array. To minimize the need for user intervention, we introduce a novel auto-triggering module. Unlike the legacy manual calibration method, MAGIC achieves superior calibration performance (e.g., for tracking applications) with minimal user attention. Via empirical studies, we show MAGIC also incurs marginal overhead and cost, such as a total energy cost of 0.108 J.

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Cited By

Huang KIravantchi YChen DSample A(2024)MagDesk: Interactive Tabletop Workspace Based on Passive Magnetic TrackingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997568:4(1-31)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699756
Wang JIravantchi YSample AShin KWang XChen DGanesan DLane NShi W(2024)Polaris: Accurate, Vision-free Fiducials for Mobile Robots with Magnetic ConstellationProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690711(1560-1574)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3690711
Iravantchi YSample A(2024)T4Train: Rapid Prototyping of ML-Driven Interactive ApplicationsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636269(1-4)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636269
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Index Terms

Automatic calibration of magnetic tracking
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor devices and platforms

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cover image ACM Conferences

MobiCom '22: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

October 2022

932 pages

ISBN:9781450391818

DOI:10.1145/3495243

Copyright © 2022 Owner/Author.

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

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Association for Computing Machinery

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Publication History

Published: 14 October 2022

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Demonstration

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National Natural Science Foundation of China
National Natural Science Foundation of China

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ACM MobiCom '22

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SIGMOBILE

ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking

October 17 - 21, 2022

NSW, Sydney, Australia

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Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

Huang KIravantchi YChen DSample A(2024)MagDesk: Interactive Tabletop Workspace Based on Passive Magnetic TrackingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997568:4(1-31)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699756
Wang JIravantchi YSample AShin KWang XChen DGanesan DLane NShi W(2024)Polaris: Accurate, Vision-free Fiducials for Mobile Robots with Magnetic ConstellationProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690711(1560-1574)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3690711
Iravantchi YSample A(2024)T4Train: Rapid Prototyping of ML-Driven Interactive ApplicationsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636269(1-4)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636269
Wang LWang WDai HLiu S(2023)MagSoundProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808897:1(1-32)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580889
Ni TZhang XZuo CLi JYan ZWang WXu WLuo XZhao Q(2023)Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels2023 IEEE Symposium on Security and Privacy (SP)10.1109/SP46215.2023.10179322(3399-3415)Online publication date: May-2023
https://doi.org/10.1109/SP46215.2023.10179322

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