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WristFlex: low-power gesture input with wrist-worn pressure sensors

Published: 05 October 2014 Publication History

Abstract

In this paper we present WristFlex, an always-available on-body gestural interface. Using an array of force sensitive resistors (FSRs) worn around the wrist, the interface can distinguish subtle finger pinch gestures with high accuracy (>80 %) and speed. The system is trained to classify gestures from subtle tendon movements on the wrist. We demonstrate that WristFlex is a complete system that works wirelessly in real-time. The system is simple and light-weight in terms of power consumption and computational overhead. WristFlex's sensor power consumption is 60.7 uW, allowing the prototype to potentially last more then a week on a small lithium polymer battery. Also, WristFlex is small and non-obtrusive, and can be integrated into a wristwatch or a bracelet. We perform user studies to evaluate the accuracy, speed, and repeatability. We demonstrate that the number of gestures can be extended with orientation data from an accelerometer. We conclude by showing example applications.

Supplementary Material

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Supplemental video

References

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  • (2024)A Survey on Robotic Prosthetics: Neuroprosthetics, Soft Actuators, and Control StrategiesACM Computing Surveys10.1145/364835556:8(1-44)Online publication date: 10-Apr-2024
  • (2024)RadarHand: A Wrist-Worn Radar for On-Skin Touch-Based Proprioceptive GesturesACM Transactions on Computer-Human Interaction10.1145/361736531:2(1-36)Online publication date: 29-Jan-2024
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    cover image ACM Conferences
    UIST '14: Proceedings of the 27th annual ACM symposium on User interface software and technology
    October 2014
    722 pages
    ISBN:9781450330695
    DOI:10.1145/2642918
    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 ACM 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: 05 October 2014

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    Author Tags

    1. FSR
    2. gesture recognition
    3. machine learning
    4. wrist interface

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    UIST '14 Paper Acceptance Rate 74 of 333 submissions, 22%;
    Overall Acceptance Rate 561 of 2,567 submissions, 22%

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    Cited By

    View all
    • (2024)picoRing: battery-free rings for subtle thumb-to-index inputProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676365(1-11)Online publication date: 13-Oct-2024
    • (2024)A Survey on Robotic Prosthetics: Neuroprosthetics, Soft Actuators, and Control StrategiesACM Computing Surveys10.1145/364835556:8(1-44)Online publication date: 10-Apr-2024
    • (2024)RadarHand: A Wrist-Worn Radar for On-Skin Touch-Based Proprioceptive GesturesACM Transactions on Computer-Human Interaction10.1145/361736531:2(1-36)Online publication date: 29-Jan-2024
    • (2024)EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a WristbandProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642910(1-21)Online publication date: 11-May-2024
    • (2024)STMG: A Machine Learning Microgesture Recognition System for Supporting Thumb-Based VR/AR InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642702(1-15)Online publication date: 11-May-2024
    • (2024)Multi-channel Control System Using Force Myography2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)10.1109/USBEREIT61901.2024.10584009(130-134)Online publication date: 13-May-2024
    • (2024)Channel Selection for Gesture Recognition Using Force Myography: A Universal Model for Gesture Measurement PointsIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2024.340394132(2016-2026)Online publication date: 2024
    • (2024)Advancing Sensing Resolution of Impedance Hand Gesture Recognition DevicesIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2024.341761628:10(5855-5864)Online publication date: Oct-2024
    • (2024)Continuously Estimate and Control Prosthetic Grip Force by an Optical Waveguide Sensor2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610613(5317-5322)Online publication date: 13-May-2024
    • (2023)Smart Wrist Band Considering Wrist Skin Curvature Variation for Real-Time Hand Gesture RecognitionJournal of Korea Robotics Society10.7746/jkros.2023.18.1.01818:1(18-28)Online publication date: 1-Mar-2023
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