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28 frames later: predicting screen touches from back-of-device grip changes

Published: 26 April 2014 Publication History

Abstract

We demonstrate that front-of-screen targeting on mobile phones can be predicted from back-of-device grip manipulations. Using simple, low-resolution capacitive touch sensors placed around a standard phone, we outline a machine learning approach to modelling the grip modulation and inferring front-of-screen touch targets. We experimentally demonstrate that grip is a remarkably good predictor of touch, and we can predict touch position 200ms before contact with an accuracy of 18mm.

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MP4 File (p2005-sidebyside.mp4)

References

[1]
Baudisch, P., and Chu, G. Back-of-device interaction allows creating very small touch devices. CHI '09 (2009), 1923.
[2]
Cheng, L.-P., Hsiao, F.-I., Liu, Y.-T., and Chen, M. Y. iRotate grasp. In UIST Adjunct Proceedings '12 (2012), 15.
[3]
Cheng, L.-P., Liang, H.-S., Wu, C.-Y., and Chen, M. Y. iGrasp. In CHI '13 (2013), 3037.
[4]
Goel, M., Wobbrock, J., and Patel, S. Gripsense: Using built-in sensors to detect hand posture and pressure on commodity mobile phones. In UIST '12 (2012), 545--554.
[5]
Hotelling, H. Relations between two sets of variates. Biometrika 28 (1936), 321--377.
[6]
Kim, K., Chang, W., Cho, Sung-jung Shim, J., and Lee, H. Hand grip pattern recognition for mobile user interfaces. IAAI '06 (2006), 1789--1794.
[7]
Luca, A. D., von Zezschwitz, E., Nguyen, N. D. H., Maurer, M.-E., Rubegni, E., Scipioni, M. P., and Langheinrich, M. Back-of-device authentication on smartphones. In CHI '13 (2013), 2389.
[8]
Ono, M., Shizuki, B., and Tanaka, J. Touch and activate: Adding interactivity to existing objects using active acoustic sensing. In UIST '13 (2013), 31--40.
[9]
Rasmussen, C. E., and Williams, C. Gaussian Processes for Machine Learning. MIT Press, 2006.
[10]
Taylor, B. T., and Bove, V. M. The bar of soap: a grasp recognition system implemented in a multi-functional handheld device. Ext. Abstracts CHI'08 (2008), 3459--3464.
[11]
Wigdor, D., Forlines, C., Baudisch, P., Barnwell, J., and Shen, C. Lucid touch. In UIST '07 (2007), 269.
[12]
Wimmer, R., and Boring, S. HandSense: discriminating different ways of grasping and holding a tangible user interface. TEI '09 (2009), 16--19.

Cited By

View all
  • (2023)A Neural Network-based Low-cost Soft Sensor for Touch Recognition and Deformation CaptureProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3595963(889-903)Online publication date: 10-Jul-2023
  • (2023)AdHocProx: Sensing Mobile, Ad-Hoc Collaborative Device Formations using Dual Ultra-Wideband RadiosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581300(1-18)Online publication date: 19-Apr-2023
  • (2022)A Contact-Sensitive Probe for Biomedical OpticsSensors10.3390/s2206236122:6(2361)Online publication date: 18-Mar-2022
  • Show More Cited By

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  1. 28 frames later: predicting screen touches from back-of-device grip changes

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    cover image ACM Conferences
    CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2014
    4206 pages
    ISBN:9781450324731
    DOI:10.1145/2556288
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 26 April 2014

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    Author Tags

    1. back-of-device
    2. capacitive
    3. machine learning
    4. touch

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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

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    CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2023)A Neural Network-based Low-cost Soft Sensor for Touch Recognition and Deformation CaptureProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3595963(889-903)Online publication date: 10-Jul-2023
    • (2023)AdHocProx: Sensing Mobile, Ad-Hoc Collaborative Device Formations using Dual Ultra-Wideband RadiosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581300(1-18)Online publication date: 19-Apr-2023
    • (2022)A Contact-Sensitive Probe for Biomedical OpticsSensors10.3390/s2206236122:6(2361)Online publication date: 18-Mar-2022
    • (2021)Itsy-Bits: Fabrication and Recognition of 3D-Printed Tangibles with Small Footprints on Capacitive TouchscreensProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445502(1-12)Online publication date: 6-May-2021
    • (2020)Impact of Hand Used on One-Handed Back-of-Device PerformanceProceedings of the ACM on Human-Computer Interaction10.1145/34273164:ISS(1-19)Online publication date: 4-Nov-2020
    • (2020)Shortcut Gestures for Mobile Text Editing on Fully Touch Sensitive SmartphonesACM Transactions on Computer-Human Interaction10.1145/339623327:5(1-38)Online publication date: 17-Aug-2020
    • (2020)Woodpecker: Secret Back-of-Device Tap Rhythms to Authenticate Mobile Users2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283239(2727-2733)Online publication date: 11-Oct-2020
    • (2019)Investigating Unintended Inputs for One-Handed Touch Interaction Beyond the TouchscreenProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3338286.3340145(1-14)Online publication date: 1-Oct-2019
    • (2019)Exploring performance of thumb input for pointing and dragging tasks on mobile deviceProceedings of Asian CHI Symposium 2019: Emerging HCI Research Collection10.1145/3309700.3338434(38-45)Online publication date: 4-May-2019
    • (2019)Investigating the feasibility of finger identification on capacitive touchscreens using deep learningProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302295(637-649)Online publication date: 17-Mar-2019
    • Show More Cited By

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