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Eliciting Wrist and Finger Gestures to Guide Recognizer Design

Published: 03 June 2019 Publication History
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  • Abstract

    While hand gestures, i.e. movements of the fingers and wrist, are a low-effort input modality, sensing and recognition of these smallscale gestures is challenging. In particular, while many authors have explored varying designs of hardware to support hand gesture input, each systems recognize their own gesture set, rendering challenging comparisons between different capture and recognition systems. In this paper, we explore the design of hand and finger gesture input by conducting an elicitation study to understand the tradeoffs between hand, wrist, and arm gestures. Alongside this, to evaluate the overall potential of wrist-worn recognition, we explore the design of hardware to recognize gestures by contrasting an IMUonly recognizer with a simple low-cost wrist-flex sensor. We discuss the implications of our work both to the comparative evaluation of systems and to the design of enhanced hardware sensing.

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    Cited By

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    • (2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
    • (2023)Brave New GES World: A Systematic Literature Review of Gestures and Referents in Gesture Elicitation StudiesACM Computing Surveys10.1145/363645856:5(1-55)Online publication date: 7-Dec-2023
    • (2022)Understanding Gesture Input Articulation with Upper-Body Wearables for Users with Upper-Body Motor ImpairmentsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501964(1-16)Online publication date: 29-Apr-2022

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    Published In

    cover image ACM Other conferences
    GI'19: Proceedings of the 45th Graphics Interface Conference on Proceedings of Graphics Interface 2019
    June 2019
    226 pages
    ISBN:9780994786845

    Sponsors

    • The Canadian Human-Computer Communications Society / Société Canadienne du Dialogue Humaine Machine (CHCCS/SCDHM)
    • Queen's University Kingston: Queen's University Kingston

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    Canadian Human-Computer Communications Society

    Waterloo, Canada

    Publication History

    Published: 03 June 2019

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    Author Tags

    1. Finger
    2. Gesture
    3. Hand
    4. Recognition
    5. Sensors

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    GI'19 Paper Acceptance Rate 26 of 50 submissions, 52%;
    Overall Acceptance Rate 206 of 508 submissions, 41%

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    View all
    • (2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
    • (2023)Brave New GES World: A Systematic Literature Review of Gestures and Referents in Gesture Elicitation StudiesACM Computing Surveys10.1145/363645856:5(1-55)Online publication date: 7-Dec-2023
    • (2022)Understanding Gesture Input Articulation with Upper-Body Wearables for Users with Upper-Body Motor ImpairmentsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501964(1-16)Online publication date: 29-Apr-2022

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