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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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
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