demonstration

Knitted Force Sensors

Authors:

Andreas Pointner,

Thomas Preindl,

Mira Alida Haberfellner,

Michael HallerAuthors Info & Claims

UIST '22 Adjunct: Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology

Article No.: 77, Pages 1 - 3

https://doi.org/10.1145/3526114.3558656

Published: 28 October 2022 Publication History

Abstract

In this demo, we present two types of knitted resistive force sensors for both pressure and strain sensing. They can be manufactured ready-made on a two-bed weft knitting machine, without requiring further post-processing steps. Due to their softness, elasticity, and breathability our sensors provide an appealing haptic experience. We show their working principle, discuss their advantages and limitations, and elaborate on different areas of application. They are presented as standalone demonstrators, accompanied by exemplary applications to provide insights into their haptic qualities and sensing capabilities.

References

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Digital Library

[2]

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Roland Aigner, Andreas Pointner, Thomas Preindl, Patrick Parzer, and Michael Haller. 2020. Embroidered Resistive Pressure Sensors: A Novel Approach for Textile Interfaces. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems(CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376305

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Digital Library

Cited By

Lin PAndersen KSchmidt RSchoenmakers SHofmeyer HPauwels PIJsselsteijn W(2024)Informed by Yarns - Proposing Knitting Patterns for Revealing Digital System ActivitiesProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685338(1-16)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685338
Ashbrook DLin WBentley NSoponar DYan ZSavage VCheng LPeng HKim H(2024)Rhapso: Automatically Embedding Fiber Materials into 3D Prints for Enhanced InteractivityProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676468(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676468
Hofmann M(2024)KODA: Knit-program Optimization by Dependency AnalysisProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676405(1-15)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676405
Show More Cited By

Index Terms

Knitted Force Sensors
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Haptic devices

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UIST '22: Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology

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Microbending optical fiber sensors based on bend-induced loss in optical fiber have proved themselves useful for detecting environmental changes. Many different mechanical elements have been developed to perform the sensing, each with attributes ...

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Information & Contributors

Information

Published In

cover image ACM Conferences

UIST '22 Adjunct: Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology

October 2022

413 pages

ISBN:9781450393218

DOI:10.1145/3526114

Editors:
Maneesh Agrawala
Stanford University, USA
,
Jacob O. Wobbrock
University of Washington, USA
,
Eytan Adar
University of Michigan, USA
,
Vidya Setlur
Tableau Research, USA

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2022

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Author Tags

Qualifiers

Demonstration
Research
Refereed limited

Funding Sources

FFG

Conference

UIST '22

Sponsor:

UIST '22: The 35th Annual ACM Symposium on User Interface Software and Technology

October 29 - November 2, 2022

OR, Bend, USA

Acceptance Rates

Overall Acceptance Rate 355 of 1,733 submissions, 20%

Upcoming Conference

UIST '25

Sponsor:
sigchi
sigchi

The 38th Annual ACM Symposium on User Interface Software and Technology

September 28 - October 1, 2025

Busan , Republic of Korea

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Citations

Cited By

Lin PAndersen KSchmidt RSchoenmakers SHofmeyer HPauwels PIJsselsteijn W(2024)Informed by Yarns - Proposing Knitting Patterns for Revealing Digital System ActivitiesProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685338(1-16)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685338
Ashbrook DLin WBentley NSoponar DYan ZSavage VCheng LPeng HKim H(2024)Rhapso: Automatically Embedding Fiber Materials into 3D Prints for Enhanced InteractivityProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676468(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676468
Hofmann M(2024)KODA: Knit-program Optimization by Dependency AnalysisProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676405(1-15)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676405
Twigg-Smith HPeng YWhiting EPeek N(2024)What's in a cable? Abstracting Knitting Design Elements with Blended Raster/Vector PrimitivesProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676351(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676351
Aigner RHaberfellner MHaller M(2024)Loopsense: low-scale, unobtrusive, and minimally invasive knitted force sensors for multi-modal input, enabled by selective loop-meshingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642528(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642528
Aigner RHepper F(2024)An Evaluation of Multicomponent Weft-Knit Twill Structures for Sensing Tensile ForceIEEE Sensors Journal10.1109/JSEN.2024.335382124:5(6293-6302)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JSEN.2024.3353821

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