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DeskWave: Desktop Interactions using Low-cost Microwave Doppler Arrays

Published: 06 May 2017 Publication History

Abstract

Microwaves are a type of electromagnetic radiation that can pass through a variety of commonly found materials but partially reflect off human bodies. Microwaves are non-ionizing and at controlled levels do not pose a danger. A wave that is capable of passing through materials and image humans could have useful applications in human-computer-interaction. However, only recently the full potential of microwaves for interactive devices has begun to be explored. Here, we present a scalable, low-cost system using an array of off-the-shelf microwave Doppler sensors and explore its potential for tabletop interactions. The arrays are installed beneath a desk, making it an ubiquitous device that enables a wide range of interactions such as 3D hand tracking, gesture recognition and different forms of tangible interaction. Given the low cost and availability of these sensors, we expect that this work will stimulate future interactive devices that employ microwave sensors.

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Cited By

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  • (2024)AI enabled: a novel IoT-based fake currency detection using millimeter wave (mmWave) sensorComputing10.1007/s00607-024-01300-2106:8(2851-2873)Online publication date: 27-Jun-2024
  • (2023)Cross-Domain Gesture Sequence Recognition for Two-Player Exergames using COTS mmWave RadarProceedings of the ACM on Human-Computer Interaction10.1145/36264777:ISS(327-356)Online publication date: 1-Nov-2023
  • (2023)RadarSense: Accurate Recognition of Mid-air Hand Gestures with Radar Sensing and Few Training ExamplesACM Transactions on Interactive Intelligent Systems10.1145/358964513:3(1-45)Online publication date: 11-Sep-2023
  • Show More Cited By

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  1. DeskWave: Desktop Interactions using Low-cost Microwave Doppler Arrays

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    cover image ACM Conferences
    CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2017
    3954 pages
    ISBN:9781450346566
    DOI:10.1145/3027063
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 06 May 2017

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    Author Tags

    1. 3D tracking
    2. gesture recognition
    3. microwave sensors
    4. tabletops
    5. wireless power transfer

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    CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2024)AI enabled: a novel IoT-based fake currency detection using millimeter wave (mmWave) sensorComputing10.1007/s00607-024-01300-2106:8(2851-2873)Online publication date: 27-Jun-2024
    • (2023)Cross-Domain Gesture Sequence Recognition for Two-Player Exergames using COTS mmWave RadarProceedings of the ACM on Human-Computer Interaction10.1145/36264777:ISS(327-356)Online publication date: 1-Nov-2023
    • (2023)RadarSense: Accurate Recognition of Mid-air Hand Gestures with Radar Sensing and Few Training ExamplesACM Transactions on Interactive Intelligent Systems10.1145/358964513:3(1-45)Online publication date: 11-Sep-2023
    • (2022)Solids on SoliProceedings of the ACM on Human-Computer Interaction10.1145/35322126:EICS(1-19)Online publication date: 17-Jun-2022
    • (2022)RaITIn: Radar-Based Identification for Tangible InteractionsExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519808(1-7)Online publication date: 27-Apr-2022
    • (2022)Reconstruction of Dexterous 3D Motion Data From a Flexible Magnetic Sensor With Deep Learning and Structure-Aware FilteringIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303163228:6(2400-2414)Online publication date: 1-Jun-2022
    • (2021)No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar SensingSensors10.3390/s2117577121:17(5771)Online publication date: 27-Aug-2021
    • (2021)PantomimeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34481105:1(1-27)Online publication date: 30-Mar-2021
    • (2018)Exploring Tangible Interactions with Radar SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870782:4(1-25)Online publication date: 27-Dec-2018

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