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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21730/16:00306293

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-5090-5524-1

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Reggio Calabria

Datum konání akce

27. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000392205700002