research-article

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PrintShear: Shear Input Based on Fingerprint Deformation

Authors:

Jianjiang Feng,

Jie ZhouAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7, Issue 2

Article No.: 81, Pages 1 - 22

https://doi.org/10.1145/3596257

Published: 12 June 2023 Publication History

Abstract

Most touch-based input devices, such as touchscreens and touchpads, capture low-resolution capacitive images when a finger touches the device's surface. These devices only output the two-dimensional (2D) positions of contacting points, which are insufficient for complex control tasks, such as the manipulation of 3D objects. To expand the modalities of touch inputs, researchers have proposed a variety of techniques, including finger poses, chording gestures, touch pressure, etc. With the rapid development of fingerprint sensing technology, especially under-screen fingerprint sensors, it has become possible to generate input commands to control multiple degrees of freedom (DOF) at a time using fingerprint images. In this paper, we propose PrintShear, a shear input technique based on fingerprint deformation. Lateral, longitudinal and rotational deformations are extracted from fingerprint images and mapped to 3DOF control commands. Further DOF expansion can be achieved through recognition of the contact region of the touching finger. We conducted a 12-person user study to evaluate the performance of PrintShear on 3D docking tasks. Comparisons with other input methods demonstrated the superiority of our approach. Specifically, a 19.79% reduction in completion time was achieved compared with conventional touch input in a full 6DOF 3D object manipulation task.

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Yim JBae SKim TKim SLee G(2024)Palmrest+: Expanding Laptop Input Space with Shear Force on Palm-Resting AreaProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676371(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676371
Duan HWang SOjha VWang SHuang YLong YRanjan RZheng Y(2024)Wearable-based behaviour interpolation for semi-supervised human activity recognitionInformation Sciences: an International Journal10.1016/j.ins.2024.120393665:COnline publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.ins.2024.120393
Duan JXiong JLi YDing W(2024)Deep learning based multimodal biomedical data fusion: An overview and comparative reviewInformation Fusion10.1016/j.inffus.2024.102536112(102536)Online publication date: Dec-2024
https://doi.org/10.1016/j.inffus.2024.102536
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Index Terms

PrintShear: Shear Input Based on Fingerprint Deformation
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 7, Issue 2

June 2023

969 pages

EISSN:2474-9567

DOI:10.1145/3604631

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Published: 12 June 2023

Published in IMWUT Volume 7, Issue 2

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Cited By

Yim JBae SKim TKim SLee G(2024)Palmrest+: Expanding Laptop Input Space with Shear Force on Palm-Resting AreaProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676371(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676371
Duan HWang SOjha VWang SHuang YLong YRanjan RZheng Y(2024)Wearable-based behaviour interpolation for semi-supervised human activity recognitionInformation Sciences: an International Journal10.1016/j.ins.2024.120393665:COnline publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.ins.2024.120393
Duan JXiong JLi YDing W(2024)Deep learning based multimodal biomedical data fusion: An overview and comparative reviewInformation Fusion10.1016/j.inffus.2024.102536112(102536)Online publication date: Dec-2024
https://doi.org/10.1016/j.inffus.2024.102536
Xu XFu CCamacho DPark JChen J(2024)Internet of Things for Emotion Care: Advances, Applications, and ChallengesCognitive Computation10.1007/s12559-024-10327-8Online publication date: 7-Aug-2024
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