research-article

Investigating the feasibility of finger identification on capacitive touchscreens using deep learning

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Niels HenzeAuthors Info & Claims

IUI '19: Proceedings of the 24th International Conference on Intelligent User Interfaces

Pages 637 - 649

https://doi.org/10.1145/3301275.3302295

Published: 17 March 2019 Publication History

Abstract

Touchscreens enable intuitive mobile interaction. However, touch input is limited to 2D touch locations which makes it challenging to provide shortcuts and secondary actions similar to hardware keyboards and mice. Previous work presented a wide range of approaches to provide secondary actions by identifying which finger touched the display. While these approaches are based on external sensors which are inconvenient, we use capacitive images from mobile touchscreens to investigate the feasibility of finger identification. We collected a dataset of low-resolution fingerprints and trained convolutional neural networks that classify touches from eight combinations of fingers. We focused on combinations that involve the thumb and index finger as these are mainly used for interaction. As a result, we achieved an accuracy of over 92% for a position-invariant differentiation between left and right thumbs. We evaluated the model and two use cases that users find useful and intuitive. We publicly share our data set (CapFingerld) comprising 455,709 capacitive images of touches from each finger on a representative mutual capacitive touchscreen and our models to enable future work using and improving them.

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Cited By

Huang ZGao CWang HDeng XLai YMa CQin SLiu YWang H(2024)SpeciFingersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435598:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643559
He KLi CDuan YFeng JZhou J(2024)TrackPoseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314597:4(1-22)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631459
Shen ZLi SZhao XZou J(2024)CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on SmartphonesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.327787936:1(90-106)Online publication date: Jan-2024
https://doi.org/10.1109/TKDE.2023.3277879
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Index Terms

Investigating the feasibility of finger identification on capacitive touchscreens using deep learning
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

IUI '19: Proceedings of the 24th International Conference on Intelligent User Interfaces

March 2019

713 pages

ISBN:9781450362726

DOI:10.1145/3301275

General Chairs:
Wai-Tat Fu,
Shimei Pan,
Program Chairs:
Oliver Brdiczka,
Polo Chau,
Gaelle Calvary

Copyright © 2019 ACM.

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Published: 17 March 2019

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IUI '19: 24th International Conference on Intelligent User Interfaces

March 17 - 20, 2019

California, Marina del Ray

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IUI '19 Paper Acceptance Rate 71 of 282 submissions, 25%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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https://dl.acm.org/doi/10.1145/3643559
He KLi CDuan YFeng JZhou J(2024)TrackPoseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314597:4(1-22)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631459
Shen ZLi SZhao XZou J(2024)CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on SmartphonesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.327787936:1(90-106)Online publication date: Jan-2024
https://doi.org/10.1109/TKDE.2023.3277879
Fumelli CDutta AKaboli M(2024)Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE)10.1109/ROSE62198.2024.10590799(01-08)Online publication date: 20-Jun-2024
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https://dl.acm.org/doi/10.1145/3569009.3573112
Ikematsu KKato K(2023)ShiftTouch: Extending Touchscreens with Passive Interfaces using Small Occluded Area for Discrete Touch InputProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572742(1-15)Online publication date: 26-Feb-2023
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Hong SHeo SLee B(2023)MaterialSense: Estimating and utilizing material properties of contact objects in multi-touch interactionInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102985172(102985)Online publication date: Apr-2023
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Bahrami SMoriot JMasson PGrondin F(2022)Machine Learning for Touch Localization on an Ultrasonic Lamb Wave TouchscreenSensors10.3390/s2209318322:9(3183)Online publication date: 21-Apr-2022
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