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Hand grip pattern recognition for mobile user interfaces

Published: 16 July 2006 Publication History

Abstract

This paper presents a novel user interface for handheld mobile devices by recognizing hand grip patterns. Particularly, we consider the scenario where the device is provided with an array of capacitive touch sensors underneath the exterior cover. In order to provide the users with intuitive and natural manipulation experience, we use pattern recognition techniques for identifying the users' band grips from the touch sensors. Preliminary user studies suggest that filtering out unintended user hand grip is one of the most important issues to be resolved. We discuss the details of the prototype implementation, as well as engineering challenges for practical deployment.

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Cited By

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  • (2024)Usability Optimization for Mobile Menu Design: An Empirical Study of Hand Grips and User PreferencesProceedings of the ACM on Human-Computer Interaction10.1145/36765088:MHCI(1-19)Online publication date: 24-Sep-2024
  • (2023)HIPPOProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35703446:4(1-30)Online publication date: 11-Jan-2023
  • (2022)ReflecTouch: Detecting Grasp Posture of Smartphone Using Corneal Reflection ImagesProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517440(1-8)Online publication date: 29-Apr-2022
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  1. Hand grip pattern recognition for mobile user interfaces

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    Published In

    cover image Guide Proceedings
    IAAI'06: Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
    July 2006
    1851 pages
    ISBN:9781577352815

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    AAAI Press

    Publication History

    Published: 16 July 2006

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    • (2024)Usability Optimization for Mobile Menu Design: An Empirical Study of Hand Grips and User PreferencesProceedings of the ACM on Human-Computer Interaction10.1145/36765088:MHCI(1-19)Online publication date: 24-Sep-2024
    • (2023)HIPPOProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35703446:4(1-30)Online publication date: 11-Jan-2023
    • (2022)ReflecTouch: Detecting Grasp Posture of Smartphone Using Corneal Reflection ImagesProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517440(1-8)Online publication date: 29-Apr-2022
    • (2020)Shortcut Gestures for Mobile Text Editing on Fully Touch Sensitive SmartphonesACM Transactions on Computer-Human Interaction10.1145/339623327:5(1-38)Online publication date: 17-Aug-2020
    • (2019)Active EdgeProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300504(1-13)Online publication date: 2-May-2019
    • (2018)Designing for Multiple Hand Grips and Body Postures within the UX of a moving SmartphoneProceedings of the 2018 Designing Interactive Systems Conference10.1145/3196709.3196711(611-621)Online publication date: 8-Jun-2018
    • (2018)Understanding Face and Eye Visibility in Front-Facing Cameras of Smartphones used in the WildProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173854(1-12)Online publication date: 21-Apr-2018
    • (2018)Investigating How Smartphone Movement is Affected by Body PostureProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173776(1-8)Online publication date: 21-Apr-2018
    • (2017)Understanding Grip ShiftsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025835(4680-4691)Online publication date: 2-May-2017
    • (2017)Finding Common GroundProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025808(3293-3315)Online publication date: 2-May-2017
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