demonstration

βTap: back-of-device tap input with built-in sensors

Authors:

Emilio Granell,

Luis A. LeivaAuthors Info & Claims

MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 52, Pages 1 - 6

https://doi.org/10.1145/3098279.3125440

Published: 04 September 2017 Publication History

Abstract

We present βTap, a Back-of-device (BoD) tap detection software for mobile devices that uses commodity sensors, without the need to instrument the device. Although just basic interactions are supported (namely, single and double taps), βTap is highly accurate and performance-friendly, since it uses a low-cost yet highly discriminative set of features. Our software is publicly available at the Google Play Store, so that others can build upon our work.

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Zhang, C., Parnami, A., Southern, C., Thomaz, E., Reyes, G., Arriaga, R., and Abowd, G. D. 2013. BackTap: Robust four-point tapping on the back of an off-the-shelf smartphone. In Adj. Proc. UIST.

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Cited By

CHEN LCHEN D(2021)A Comparison Study on Camera-Based Pointing Techniques for Handheld DisplaysIEICE Transactions on Electronics10.1587/transele.2020DIP0003E104.C:2(73-80)Online publication date: 1-Feb-2021
https://doi.org/10.1587/transele.2020DIP0003
Wang LZhang XJiang YZhang YXu CGao RZhang D(2021)Watching Your Phone's BackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34635225:2(1-26)Online publication date: 23-Jun-2021
https://doi.org/10.1145/3463522
Kulshreshtha SArif A(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
https://doi.org/10.1109/SMC42975.2020.9283239
Show More Cited By

Index Terms

βTap: back-of-device tap input with built-in sensors
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms

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Information & Contributors

Information

Published In

cover image ACM Conferences

MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 2017

874 pages

ISBN:9781450350754

DOI:10.1145/3098279

General Chairs:
Matt Jones
Swansea University
,
Manfred Tscheligi
University of Salzburg and AIT
,
Program Chairs:
Yvonne Rogers
University College London
,
Roderick Murray-Smith
University of Glasgow

Copyright © 2017 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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 September 2017

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MINECO/FEDER
MINECO

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MobileHCI '17

Sponsor:

SIGCHI

MobileHCI '17: 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 4 - 7, 2017

Vienna, Austria

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MobileHCI '17 Paper Acceptance Rate 45 of 224 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

CHEN LCHEN D(2021)A Comparison Study on Camera-Based Pointing Techniques for Handheld DisplaysIEICE Transactions on Electronics10.1587/transele.2020DIP0003E104.C:2(73-80)Online publication date: 1-Feb-2021
https://doi.org/10.1587/transele.2020DIP0003
Wang LZhang XJiang YZhang YXu CGao RZhang D(2021)Watching Your Phone's BackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34635225:2(1-26)Online publication date: 23-Jun-2021
https://doi.org/10.1145/3463522
Kulshreshtha SArif A(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
https://doi.org/10.1109/SMC42975.2020.9283239
Sun KZhao TWang WXie LShorey RMurty RChen YJamieson K(2018)VSkinProceedings of the 24th Annual International Conference on Mobile Computing and Networking10.1145/3241539.3241568(591-605)Online publication date: 15-Oct-2018
https://dl.acm.org/doi/10.1145/3241539.3241568

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