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MagDot: Drift-free, Wearable Joint Angle Tracking at Low Cost

Authors:

Chenghu ZhouAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7, Issue 4

Article No.: 150, Pages 1 - 25

https://doi.org/10.1145/3631423

Published: 12 January 2024 Publication History

Abstract

Tracking the angular movement of body joints has been a critical enabler for various applications, such as virtual and augmented reality, sports monitoring, and medical rehabilitation. Despite the strong demand for accurate joint tracking, existing techniques, such as cameras, IMUs, and flex sensors, suffer from major limitations that include occlusion, cumulative error, and high cost. These issues collectively undermine the practicality of joint tracking.

We introduce MagDot, a new magnetic-based joint tracking method that enables high-accuracy, drift-free, and wearable joint angle tracking. To overcome the limitations of existing techniques, MagDot employs a novel tracking scheme that compensates for various real-world impacts, achieving high tracking accuracy. We tested MagDot on eight participants with a professional motion capture system, i.e., Qualisys motion capture system with nine Arqus A12 cameras. The results indicate MagDot can accurately track major body joints. For example, MagDot can achieve tracking accuracy of 2.72°, 4.14°, and 4.61° for elbow, knee, and shoulder, respectively. With a power consumption of only 98 mW, MagDot can support one-day usage with a small battery pack.

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Cited By

Pettys-Baker RClarke MHolschuh BKostakos VKay JHoang T(2024)Functional Now, Wearable Later: Examining the Design Practices of Wearable TechnologistsProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676615(71-81)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676615
Bañuelos JSigg SHe JSalim FCosta-Requena J(2024)Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated SourcesProceedings of the 2nd International Workshop on Networked AI Systems10.1145/3662004.3663553(19-24)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3662004.3663553
Ma JZhang FJin BSu CLi SWang ZNi J(2024)Push the Limit of Highly Accurate Ranging on Commercial UWB DevicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596028:2(1-27)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659602
Show More Cited By

Index Terms

MagDot: Drift-free, Wearable Joint Angle Tracking at Low Cost
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor devices and platforms

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 7, Issue 4

December 2023

1613 pages

EISSN:2474-9567

DOI:10.1145/3640795

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Copyright © 2024 ACM.

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Published: 12 January 2024

Published in IMWUT Volume 7, Issue 4

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Cited By

Pettys-Baker RClarke MHolschuh BKostakos VKay JHoang T(2024)Functional Now, Wearable Later: Examining the Design Practices of Wearable TechnologistsProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676615(71-81)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676615
Bañuelos JSigg SHe JSalim FCosta-Requena J(2024)Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated SourcesProceedings of the 2nd International Workshop on Networked AI Systems10.1145/3662004.3663553(19-24)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3662004.3663553
Ma JZhang FJin BSu CLi SWang ZNi J(2024)Push the Limit of Highly Accurate Ranging on Commercial UWB DevicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596028:2(1-27)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659602
Chen YYu JChen YKong LZhu YChen YOkoshi TKo JLiKamWa R(2024)RFSpy: Eavesdropping on Online Conversations with Out-of-Vocabulary Words by Sensing Metal Coil Vibration of Headsets Leveraging RFIDProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661887(169-182)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661887
Chang ZZhang FXiong JChen WZhang DGanesan DLane NShi W(2024)MSense: Boosting Wireless Sensing Capability Under Motion InterferenceProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649350(108-123)Online publication date: 29-May-2024
https://dl.acm.org/doi/10.1145/3636534.3649350
Zuo CFang JGuo SQin YOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)Self-adaptive motion tracking against on-body displacement of flexible sensorsProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3669501(77277-77289)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3669501
Xu LGu CTan RHe SChen JEskicioglu RHuang PPatwari N(2023)MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few LabelsProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625782(1-14)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3625687.3625782

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