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Camera System for Efficient Non-Contact Measurement in Distance Medicine

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F20%3A00344973" target="_blank" >RIV/68407700:21460/20:00344973 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/20:00344973

  • Result on the web

    <a href="https://doi.org/10.1109/ME49197.2020.9286647" target="_blank" >https://doi.org/10.1109/ME49197.2020.9286647</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ME49197.2020.9286647" target="_blank" >10.1109/ME49197.2020.9286647</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Camera System for Efficient Non-Contact Measurement in Distance Medicine

  • Original language description

    The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware’s performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LTAIZ19008" target="_blank" >LTAIZ19008: Enhancing Robotic Physiotherapeutic Treatments using Machine Learning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2020 19th International Conference on Mechatronics - Mechatronika (ME)

  • ISBN

    978-1-7281-5601-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    104-109

  • Publisher name

    IEEE

  • Place of publication

    Piscataway (New Jersey)

  • Event location

    Praha

  • Event date

    Dec 2, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article