Video Processing and 3D Modelling of Chest Movement using MS Kinect Depth Sensor

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11150%2F16%3A10333363" target="_blank" >RIV/00216208:11150/16:10333363 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/16:00306293

Result on the web

<a href="http://dx.doi.org/10.1109/IWCIM.2016.7801175" target="_blank" >http://dx.doi.org/10.1109/IWCIM.2016.7801175</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWCIM.2016.7801175" target="_blank" >10.1109/IWCIM.2016.7801175</a>

Result language

angličtina

Original language name

Video Processing and 3D Modelling of Chest Movement using MS Kinect Depth Sensor

Original language description

General methods of video processing and three dimensional modelling have a wide range of applications in engineering, archaeology and spacial objects study. The paper is devoted to applications of these methods in biomedicine and neurology using MS Kinect depth sensor for non-contact monitoring of breathing. A special attention is paid to visualization of results and motion mapping over the selected chest area. The proposed methodology applies digital signal processing methods and functional transforms for acquired data de-noising, spectral analysis, and feature selection. Suggested method uses further the local polynomial approximation to detect extremal values of spectral components. The results verify the corrrespondence betwen the evaluation of the breathing frequency obtained from the thorax movement recorded by the depth sensor. The study proves that simple depth sensors can be used for non-contact detection of breathing frequency and for the three dimensional modelling of the chest movement. The proposed non-contact method enables to analyse breathing for diagnostic purposes and monitoring in the home environment as a component of assisted living technologies. General methodology studied form a contribution to the use of video sequences or sets of images for spacial objects modelling, their recognition, possible three dimensional printing or analysis of time evolution of their features.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

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Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Article name in the collection

2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)

ISBN

978-1-5090-5524-1

ISSN

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e-ISSN

—

Number of pages

5

Pages from-to

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Publisher name

IEEE

Place of publication

Piscataway

Event location

Reggio Calabria

Event date

Oct 27, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000392205700002