Camera System for Efficient Non-Contact Measurement in Distance Medicine

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21730/20:00344973

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Camera System for Efficient Non-Contact Measurement in Distance Medicine

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Camera System for Efficient Non-Contact Measurement in Distance Medicine

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/LTAIZ19008" target="_blank" >LTAIZ19008: Zkvalitnění robotické fyzioterapeutické léčby pomocí metod strojového učení</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-7281-5601-9

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

104-109

Název nakladatele

IEEE

Místo vydání

Piscataway (New Jersey)

Místo konání akce

Praha

Datum konání akce

2. 12. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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