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Cyclops: Wearable and Single-Piece Full-Body Gesture Input Devices

Published: 18 April 2015 Publication History

Abstract

This work presents Cyclops, a single-piece wearable device that sees its user's whole body postures through an ego-centric view of the user that is obtained through a fisheye lens at the center of the user's body, allowing it to see only the user's limbs and interpret body postures effectively. Unlike currently available body gesture input systems that depend on external cameras or distributed motion sensors across the user's body, Cyclops is a single-piece wearable device that is worn as a pendant or a badge. Owing to the ego-centric view, Cyclops turns posture recognition into a highly controllable computer vision problem. We demonstrate a proof-of-concept device and an algorithm for recognizing static and moving bodily gestures based on motion history images (MHI) and a random decision forest (RDF). Four example applications of interactive bodily workout, a mobile racing game that involves hands and feet, a full-body virtual reality system, and interaction with a tangible toy are presented.

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  1. Cyclops: Wearable and Single-Piece Full-Body Gesture Input Devices

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    cover image ACM Conferences
    CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
    April 2015
    2546 pages
    ISBN:9781450331463
    DOI:10.1145/2702613
    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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 April 2015

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    Author Tags

    1. ego-centric view
    2. full-body gesture input
    3. posture recognition
    4. single-point wearable devices

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    CHI '15
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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

    Acceptance Rates

    CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    CHI 2025
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