research-article

Garment-integrated wearable sensing for knee joint monitoring

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Guido GiobertoAuthors Info & Claims

ISWC '14 Adjunct: Proceedings of the 2014 ACM International Symposium on Wearable Computers: Adjunct Program

Pages 113 - 118

https://doi.org/10.1145/2641248.2642736

Published: 13 September 2014 Publication History

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Abstract

Body monitoring is one of the most intuitive and direct applications for technologies that are wearable. Wearable devices are capable of detecting body movements using wearable sensors, and using signals to capture anomalies as well as good patterns in our daily activities. Clothes provide the most accessible platform for embedding sensors and electronic components, preserving imperceptibility and user comfort, especially for long term body monitoring applications. Both perceptibility and comfort variables are associated with the willingness of the user to wear the device and with the quality of the data captured (that should reflect the unbiased wearer activity as if the user would not be wearing any device).

References

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Cited By

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Ohnishi ATakegawa RHirata KToriyama MTerada TTsukamoto M(2024)Supporter-Type Anterior Cruciate Ligament Prevention System Based on Estimation of Knee Joint Valgus Angle Using Stretch SensorsApplied Sciences10.3390/app1414621014:14(6210)Online publication date: 17-Jul-2024
https://doi.org/10.3390/app14146210
Ohnishi AKirinoe KTerada TTsukamoto M(2023)A Knee Injury Prevention System by Continuous Knee Angle Recognition Using Stretch SensorsAdvances in Mobile Computing and Multimedia Intelligence10.1007/978-3-031-48348-6_8(93-103)Online publication date: 22-Nov-2023
https://doi.org/10.1007/978-3-031-48348-6_8
Amesaka TWatanabe HSugimoto MShizuki B(2022)Gesture Recognition Method Using Acoustic Sensing on Usual GarmentProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35345796:2(1-27)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534579
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Index Terms

Garment-integrated wearable sensing for knee joint monitoring
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensors and actuators
2. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

ISWC '14 Adjunct: Proceedings of the 2014 ACM International Symposium on Wearable Computers: Adjunct Program

September 2014

271 pages

ISBN:9781450330480

DOI:10.1145/2641248

General Chair:
Lucy Dunne
University of Minnesota Research
,
Program Chairs:
Tom Martin
Virginia Tech
,
Michael Beigl
Karlsruhe Institute of Technology, DE

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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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2014

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Research-article

Funding Sources

Division of Information and Intelligent Systems

Conference

UbiComp '14

Sponsor:

UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

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Overall Acceptance Rate 38 of 196 submissions, 19%

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Cited By

View all

Ohnishi ATakegawa RHirata KToriyama MTerada TTsukamoto M(2024)Supporter-Type Anterior Cruciate Ligament Prevention System Based on Estimation of Knee Joint Valgus Angle Using Stretch SensorsApplied Sciences10.3390/app1414621014:14(6210)Online publication date: 17-Jul-2024
https://doi.org/10.3390/app14146210
Ohnishi AKirinoe KTerada TTsukamoto M(2023)A Knee Injury Prevention System by Continuous Knee Angle Recognition Using Stretch SensorsAdvances in Mobile Computing and Multimedia Intelligence10.1007/978-3-031-48348-6_8(93-103)Online publication date: 22-Nov-2023
https://doi.org/10.1007/978-3-031-48348-6_8
Amesaka TWatanabe HSugimoto MShizuki B(2022)Gesture Recognition Method Using Acoustic Sensing on Usual GarmentProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35345796:2(1-27)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534579
Verma DKumari PKanagaraj S(2022)Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A ReviewAnnals of Biomedical Engineering10.1007/s10439-022-02913-4Online publication date: 21-Jan-2022
https://doi.org/10.1007/s10439-022-02913-4
Vashista VSingh YChaudhury SDutta AShibata T(2021)Single-Joint Angle Computation using Inertial Sensors with Feedback on SmartphoneProceedings of the 2021 5th International Conference on Advances in Robotics10.1145/3478586.3480647(1-6)Online publication date: 30-Jun-2021
https://dl.acm.org/doi/10.1145/3478586.3480647
Di Tocco JCarnevale APresti DBravi MBressi FMiccinilli SSterzi SLongo UDenaro VSchena EMassaroni C(2021)Wearable Device Based on a Flexible Conductive Textile for Knee Joint Movements MonitoringIEEE Sensors Journal10.1109/JSEN.2021.312258521:23(26655-26664)Online publication date: 1-Dec-2021
https://doi.org/10.1109/JSEN.2021.3122585
Faisal AMajumder SScott RMondal TCowan DDeen M(2021)A Simple, Low-Cost Multi-Sensor-Based Smart Wearable Knee Monitoring SystemIEEE Sensors Journal10.1109/JSEN.2020.304478421:6(8253-8266)Online publication date: 15-Mar-2021
https://doi.org/10.1109/JSEN.2020.3044784
Faisal AMajumder SMondal TCowan DNaseh SDeen M(2019)Monitoring Methods of Human Body Joints: State-of-the-Art and Research ChallengesSensors10.3390/s1911262919:11(2629)Online publication date: 10-Jun-2019
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Liu MArumugam SLi YYong SWhite NYang KBeeby S(2019)Printable Piezoresistive Carbon Formulation for Stretch and Flex Sensors in E-Textile Applications2019 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)10.1109/FLEPS.2019.8792236(1-3)Online publication date: Jul-2019
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Tsubaki KTerada TTsukamoto MSeigneur JHernandez-Munoz JMcCullagh PSchmidt ATerada TWoo WMistry P(2016)An Activity Recognition Method by Measuring Circumference of Body PartsProceedings of the 7th Augmented Human International Conference 201610.1145/2875194.2875220(1-7)Online publication date: 25-Feb-2016
https://dl.acm.org/doi/10.1145/2875194.2875220

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