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Probabilistic palm rejection using spatiotemporal touch features and iterative classification

Published: 26 April 2014 Publication History

Abstract

Tablet computers are often called upon to emulate classical pen-and-paper input. However, touchscreens typically lack the means to distinguish between legitimate stylus and finger touches and touches with the palm or other parts of the hand. This forces users to rest their palms elsewhere or hover above the screen, resulting in ergonomic and usability problems. We present a probabilistic touch filtering approach that uses the temporal evolution of touch contacts to reject palms. Our system improves upon previous approaches, reducing accidental palm inputs to 0.016 per pen stroke, while correctly passing 98% of stylus inputs.

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  1. Probabilistic palm rejection using spatiotemporal touch features and iterative classification

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    cover image ACM Conferences
    CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2014
    4206 pages
    ISBN:9781450324731
    DOI:10.1145/2556288
    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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    Publication History

    Published: 26 April 2014

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    Author Tags

    1. palm rejection
    2. pen and stylus input
    3. tablet computing
    4. touch interaction
    5. touchscreen

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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

    Acceptance Rates

    CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2023)AttFLProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109177:3(1-31)Online publication date: 27-Sep-2023
    • (2023)Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious IndividualsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109167:3(1-26)Online publication date: 27-Sep-2023
    • (2023)Society's Attitudes Towards Human Augmentation and Performance Enhancement Technologies (SHAPE) ScaleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109157:3(1-23)Online publication date: 27-Sep-2023
    • (2023)Uncovering Bias in Personal InformaticsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109147:3(1-30)Online publication date: 27-Sep-2023
    • (2023)IrisProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109137:3(1-27)Online publication date: 27-Sep-2023
    • (2023)LapTouchProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108787:3(1-23)Online publication date: 27-Sep-2023
    • (2023)Phone Sleight of Hand: Finger-Based Dexterous Gestures for Physical Interaction with Mobile PhonesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581121(1-19)Online publication date: 19-Apr-2023
    • (2022)Video Interaction on Tablet Computers: Browsing with Pinch Gesture and Pen TiltProceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia10.1145/3568444.3570598(285-287)Online publication date: 27-Nov-2022
    • (2022)WIGHT: Wired Ghost Touch Attack on Capacitive Touchscreens2022 IEEE Symposium on Security and Privacy (SP)10.1109/SP46214.2022.9833740(984-1001)Online publication date: May-2022
    • (2021)TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive ImagesThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474801(997-1009)Online publication date: 10-Oct-2021
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