poster

An early characterisation of wearing variability on motion signals for wearables

Authors:

Chulhong Min,

Akhil Mathur,

Alessandro Montanari,

Fahim KawsarAuthors Info & Claims

ISWC '19: Proceedings of the 2019 ACM International Symposium on Wearable Computers

Pages 166 - 168

https://doi.org/10.1145/3341163.3347716

Published: 09 September 2019 Publication History

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Abstract

We explore a new variability observed in motion signals acquired from modern wearables. Wearing variability refers to the variations of the device orientation and placement across wearing events. We collect the accelerometer data on a smartwatch and an earbud and analyse how motion signals change due to the wearing variability. Our analysis shows that the wearing variability can bring an unexpected change to motion signals, not only from different users but also from different wearing sessions of the same user. We also provide empirical ranges of changes in device orientations.

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Khaked AOishi NRoggen DLago P(2025)In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against VariabilitySensors10.3390/s2502043025:2(430)Online publication date: 13-Jan-2025
https://doi.org/10.3390/s25020430
Ruston OSharma AFraser M(2024)SeamSleeve: Robust Arm Movement Sensing through Powered StitchingProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660726(1134-1147)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660726
Zhang YZheng XZhang XPan JThean A(2024)Hybrid Integration of Wearable Devices for Physiological MonitoringChemical Reviews10.1021/acs.chemrev.3c00471124:18(10386-10434)Online publication date: 27-Aug-2024
https://doi.org/10.1021/acs.chemrev.3c00471
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Index Terms

An early characterisation of wearing variability on motion signals for wearables
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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Published In

ISWC '19: Proceedings of the 2019 ACM International Symposium on Wearable Computers

September 2019

355 pages

ISBN:9781450368704

DOI:10.1145/3341163

General Chairs:
Katayoun Farrahi
University Of Southampton
,
Robert Harle
Cambridge University
,
Nicholas Lane
University Of Oxford And Samsung Ai

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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Published: 09 September 2019

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UbiComp '19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 9 - 13, 2019

London, United Kingdom

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Khaked AOishi NRoggen DLago P(2025)In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against VariabilitySensors10.3390/s2502043025:2(430)Online publication date: 13-Jan-2025
https://doi.org/10.3390/s25020430
Ruston OSharma AFraser M(2024)SeamSleeve: Robust Arm Movement Sensing through Powered StitchingProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660726(1134-1147)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660726
Zhang YZheng XZhang XPan JThean A(2024)Hybrid Integration of Wearable Devices for Physiological MonitoringChemical Reviews10.1021/acs.chemrev.3c00471124:18(10386-10434)Online publication date: 27-Aug-2024
https://doi.org/10.1021/acs.chemrev.3c00471
Min CMathur AAcer UMontanari AKawsar F(2023)SensiX++: Bringing MLOps and Multi-tenant Model Serving to Sensory Edge DevicesACM Transactions on Embedded Computing Systems10.1145/361750722:6(1-27)Online publication date: 9-Nov-2023
https://dl.acm.org/doi/10.1145/3617507
Khaked AOishi NRoggen DLago P(2023)Investigating the Effect of Orientation Variability in Deep Learning-based Human Activity RecognitionAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610742(480-485)Online publication date: 8-Oct-2023
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Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
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Min CMathur AMontanari AKawsar F(2022)SensiX: A System for Best-effort Inference of Machine Learning Models in Multi-device EnvironmentsIEEE Transactions on Mobile Computing10.1109/TMC.2022.3173914(1-1)Online publication date: 2022
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Tan STax DHung H(2021)Multimodal Joint Head Orientation Estimation in Interacting Groups via Proxemics and Interaction DynamicsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34481225:1(1-22)Online publication date: 30-Mar-2021
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Granberry RCompton CWoelfle HBarry JHolschuh B(2021)Enhancing performance and reducing wearing variability for wearable technology system–body interfaces using shape memory materialsFlexible and Printed Electronics10.1088/2058-8585/abf8486:2(024004)Online publication date: 7-May-2021
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Röddiger TBeigl MExler AVan Laerhoven KTentori MWeibel NHealey JPloetz T(2020)Design space and usability of earable prototypingProceedings of the 2020 ACM International Symposium on Wearable Computers10.1145/3410531.3414302(73-78)Online publication date: 4-Sep-2020
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Augmenting motion sensing to improve detection of periods of unusual inactivity

Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches

Situating Wearables: Smartwatch Use in Context

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