research-article

MicroPress: Detecting Pressure and Hover Distance in Thumb-to-Finger Interactions

Authors:

Rhett Dobinson,

Jürgen Steimle,

Bruno FruchardAuthors Info & Claims

SUI '22: Proceedings of the 2022 ACM Symposium on Spatial User Interaction

Article No.: 4, Pages 1 - 10

https://doi.org/10.1145/3565970.3567698

Published: 01 December 2022 Publication History

Abstract

Thumb-to-finger interactions leverage the thumb for precise, eyes-free input with high sensory bandwidth. While previous research explored gestures based on touch contact and finger movement on the skin, interactions leveraging depth such as pressure and hovering input are still underinvestigated. We present MicroPress, a proof-of-concept device that can detect both, precise thumb pressure applied on the skin and hover distance between the thumb and the index finger. We rely on a wearable IMU sensor array and a bi-directional RNN deep learning approach to enable fine-grained control while preserving the natural tactile feedback and touch of the skin. We demonstrate MicroPress’ efficacy with two interactive scenarios that pose challenges for real-time input and we validate its design with a study involving eight participants. With short per-user calibration steps, MicroPress is capable of predicting hover distance with 0.57mm accuracy, and on-skin pressure with normalized pressure error at 6 locations on the index finger.

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Cited By

Tsunoda RChoi MShizuki B(2024)Thumb-to-Finger Gesture Recognition Using COTS Smartwatch AccelerometersProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701600(184-195)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701600
Vega GMartinez-Missir VWittchen DSabnis NGirouard ACochrane KStrohmeier P(2024)vARitouch: Back of the Finger Device for Adding Variable Compliance to Rigid ObjectsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642828(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642828

Index Terms

MicroPress: Detecting Pressure and Hover Distance in Thumb-to-Finger Interactions
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices

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cover image ACM Conferences

SUI '22: Proceedings of the 2022 ACM Symposium on Spatial User Interaction

December 2022

233 pages

ISBN:9781450399487

DOI:10.1145/3565970

Editors:
Misha Sra
UC Santa Barbara, USA
,
Francisco Ortega
Colorado State University, USA
,
Thammathip Piumsomboon
University of Canterbury, New Zealand
,
Benjamin Weyers
University of Trier, Germany
,
Tabitha Peck
Davidson College, USA
,
Mayra Barrera
Dalhousie University, Canada
,
Anil Ufuk Batmaz
Kadir Has University, Turkey
,
Parinya Punpongsanon
Osaka University, Japan

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Cited By

Tsunoda RChoi MShizuki B(2024)Thumb-to-Finger Gesture Recognition Using COTS Smartwatch AccelerometersProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701600(184-195)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701600
Vega GMartinez-Missir VWittchen DSabnis NGirouard ACochrane KStrohmeier P(2024)vARitouch: Back of the Finger Device for Adding Variable Compliance to Rigid ObjectsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642828(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642828

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