research-article

ThumbRing: private interactions using one-handed thumb motion input on finger segments

Authors:

Hsin-Ruey Tsai,

Lee-Ting Huang,

Yi-Ping HungAuthors Info & Claims

MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

Pages 791 - 798

https://doi.org/10.1145/2957265.2961859

Published: 06 September 2016 Publication History

Abstract

We propose an input device, ThumbRing, for items selection on head-mounted displays (HMDs) or smart glasses. ThumbRing is a ring with an inertial measurement unit (IMU) worn on the thumb to track the motion. By arranging an item to a finger segment, users touch and slide finger segments to select the items. To resist shake in mobile conditions such as walking, another IMU is attached to the back of the hand to compute relative angles between the hand and the thumb. Sliding and touching the segments with the thumb in the hand provide privacy, subtlety, natural haptic feedback and similar input area to smartphones. A pilot study is performed to obtain users' preference finger segments. We evaluate the performance of ThumbRing in different conditions and commitment approaches in a user study. The results show that accuracy are 92.3% and 89.7% in the sitting and walking conditions, respectively.

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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
Beier RWolling FHornecker EMichahelles F(2024)TipTopTyping: A Thumb-to-Finger Text Input Method and Character Layout Optimized for Mobile Spatial ComputingProceedings of Mensch und Computer 202410.1145/3670653.3670669(196-206)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670669
Zhao JPreechayasomboon PChristensen TMemar AShen ZColonnese NKhbeis MZhu M(2024)TouchpadAnyWear: Textile-Integrated Tactile Sensors for Multimodal High Spatial-Resolution Touch Inputs with Motion Artifacts ToleranceProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676344(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676344
Show More Cited By

Index Terms

ThumbRing: private interactions using one-handed thumb motion input on finger segments
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Published In

cover image ACM Conferences

MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

September 2016

664 pages

ISBN:9781450344135

DOI:10.1145/2957265

General Chairs:
Fabio Paternò
CNR-ISTI, Italy
,
Kaisa Väänänen
Tampere University of Technology, Finland
,
Program Chairs:
Karen Church
Intercom, USA
,
Jonna Häkkilä
University of Lapland, Finland
,
Antonio Krüger
DFKI, Germany
,
Marcos Serrano
University of Toulouse, France

Copyright © 2016 ACM.

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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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: 06 September 2016

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MobileHCI '16

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SIGCHI

MobileHCI '16: 18th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 6 - 9, 2016

Florence, Italy

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Overall Acceptance Rate 202 of 906 submissions, 22%

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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
Beier RWolling FHornecker EMichahelles F(2024)TipTopTyping: A Thumb-to-Finger Text Input Method and Character Layout Optimized for Mobile Spatial ComputingProceedings of Mensch und Computer 202410.1145/3670653.3670669(196-206)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670669
Zhao JPreechayasomboon PChristensen TMemar AShen ZColonnese NKhbeis MZhu M(2024)TouchpadAnyWear: Textile-Integrated Tactile Sensors for Multimodal High Spatial-Resolution Touch Inputs with Motion Artifacts ToleranceProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676344(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676344
Lee CZhang RAgarwal DYu TGunda VLopez OKim JYin SDong BLi KSakashita MGuimbretiere FZhang C(2024)EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a WristbandProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642910(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642910
Kin KWan CKoh KMarin ACamgöz NZhang YCai YKovalev FBen-Zacharia MHoople SNunes-Ueno MSanchez-Rodriguez MBhargava AWang RSauser EMa S(2024)STMG: A Machine Learning Microgesture Recognition System for Supporting Thumb-Based VR/AR InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642702(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642702
Kitamura RYamamoto TSugiura Y(2023)TouchLog: Finger Micro Gesture Recognition Using Photo-Reflective SensorsProceedings of the 2023 ACM International Symposium on Wearable Computers10.1145/3594738.3611371(92-97)Online publication date: 8-Oct-2023
https://dl.acm.org/doi/10.1145/3594738.3611371
Joshi NAbtahi PSodhi RBartov NRushing JCollins CVogel DGlueck M(2023)Transferable Microgestures Across Hand Posture and Location Constraints: Leveraging the Middle, Ring, and Pinky FingersProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606713(1-17)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606713
Sharma ASalchow-Hömmen CMollyn VNittala AHedderich MKoelle MSeel TSteimle J(2023)SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger MicrogesturesACM Transactions on Computer-Human Interaction10.1145/356989430:3(1-40)Online publication date: 10-Jun-2023
https://dl.acm.org/doi/10.1145/3569894
Chen TLi TYang XZhu K(2023)EFRingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694786:4(1-31)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3569478
Liang CHsia CYu CYan YWang YShi Y(2023)DRG-KeyboardProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694636:4(1-30)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3569463
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