Mixed Reality Glasses: Low-Power IoT System for Digital Augmentation of Video Stream in Visual Recognition Applications

Alexander Menshchikov, Andrey Somov

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Mixed Reality (MR) is a promising technology in the scope of Internet of Things for a number of visual recognition applications including professional training, medical applications and geodesy. However, the state-of-the-art approaches require extra facilities for the visualization and positioning of the virtual objects in the real world. In this work, we propose the approach for video stream augmentation which relies solely on the positioning of virtual objects referenced to the absolute reference frame. This approach can be applied to a dynamic platform with six dimensions of freedom. For testing purposes, we design fully autonomous MR glasses based on low-power embedded systems and demonstrate the representation of a dot, line and cube in the glasses. Experimental results demonstrate that the proposed approach is successfully realized on the experimental testbed.

    Original languageEnglish
    Title of host publication2018 IEEE 13th International Symposium on Industrial Embedded Systems, SIES 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781538641552
    DOIs
    Publication statusPublished - 20 Aug 2018
    Event13th IEEE International Symposium on Industrial Embedded Systems, SIES 2018 - Graz, Austria
    Duration: 6 Jun 20188 Jun 2018

    Publication series

    Name2018 IEEE 13th International Symposium on Industrial Embedded Systems, SIES 2018 - Proceedings

    Conference

    Conference13th IEEE International Symposium on Industrial Embedded Systems, SIES 2018
    Country/TerritoryAustria
    CityGraz
    Period6/06/188/06/18

    Keywords

    • embedded systems
    • Mixed Reality glasses
    • video stream augmentation
    • virtual objects

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