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BackPat: one-handed off-screen patting gestures

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MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

Pages 77 - 80

https://doi.org/10.1145/2628363.2628396

Published: 23 September 2014 Publication History

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Abstract

We present BackPat - a technique for supporting one-handed smartphone operation by using pats of the index finger, middle finger or thumb on the back or side of the device. We devise a novel method using the device's microphone and gyroscope that enables finger-specific gesture detection and explore efficiency and user acceptance of gesture execution for each finger in three user studies with novice BackPat users.

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Cited By

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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
Cho SLee JHwang I(2022)TouchVR: A Modality for Instant VR ExperienceAdjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526114.3558650(1-3)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526114.3558650
Huang MLi YNazneen NChao AZhai SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile InputProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445626(1-11)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445626
Show More Cited By

Index Terms

BackPat: one-handed off-screen patting gestures
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Backpat: improving one-handed touchscreen operation by patting the back of the device
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Published In

MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

September 2014

664 pages

ISBN:9781450330046

DOI:10.1145/2628363

Conference Chairs:
Aaron Quigley
University of St. Andrews, UK
,
Sara Diamond
OCAD University, Canada
,
Program Chairs:
Pourang Irani
University of Manitoba, Canada
,
Sriram Subramanian
University of Bristol, UK

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 the author(s) 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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Association for Computing Machinery

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Published: 23 September 2014

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MobileHCI '14: 16th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 23 - 26, 2014

ON, Toronto, Canada

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MobileHCI '14 Paper Acceptance Rate 35 of 124 submissions, 28%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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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
Cho SLee JHwang I(2022)TouchVR: A Modality for Instant VR ExperienceAdjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526114.3558650(1-3)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526114.3558650
Huang MLi YNazneen NChao AZhai SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile InputProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445626(1-11)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445626
Yeh YRoy QIrudayaraj AVogel D(2020)Expanding Side Touch Input on Mobile PhonesProceedings of the ACM on Human-Computer Interaction10.1145/34273344:ISS(1-20)Online publication date: 4-Nov-2020
https://dl.acm.org/doi/10.1145/3427334
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://dl.acm.org/doi/10.1109/SMC42975.2020.9283239
Le HMayer SSteuerlein BHenze N(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
https://dl.acm.org/doi/10.1145/3338286.3340145
Wang RYu CYang XHe WShi YBrewster SFitzpatrick GCox AKostakos V(2019)EarTouchProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300254(1-13)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300254
Lee SKyung* G(2017)Rear interaction zones of 140 smartphone models vs. ergonomic recommendationProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/154193121360186761:1(1051-1053)Online publication date: 20-Oct-2017
https://doi.org/10.1177/1541931213601867
Granell ELeiva LJones MTscheligi MRogers YMurray-Smith R(2017)βTapProceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3098279.3125440(1-6)Online publication date: 4-Sep-2017
https://dl.acm.org/doi/10.1145/3098279.3125440
Wong PFu HZhu KZhou SKarlsson B(2016)Back-MirrorSIGGRAPH ASIA 2016 Mobile Graphics and Interactive Applications10.1145/2999508.2999522(1-5)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/2999508.2999522
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Backpat: improving one-handed touchscreen operation by patting the back of the device

Multi-scenario gesture recognition using Kinect

SoundGuides: Adapting Continuous Auditory Feedback to Users

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