Modeling of injured position during transportation based on Bayesian belief networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929970" target="_blank" >RIV/49777513:23520/16:43929970 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-33816-3_8" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-33816-3_8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-33816-3_8" target="_blank" >10.1007/978-3-319-33816-3_8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling of injured position during transportation based on Bayesian belief networks

Popis výsledku v původním jazyce

Development of rescue robotics for injured transportation connected with problem of selection of injured position based on trauma type. The paper presents a model of a position of the injured during transportation based on Bayesian belief networks. The developed Bayesian belief network structure is represented by the signs of trauma, trauma itself, positions for transportation of the sufferer corresponding to trauma, and the relationships between them. Conditional probabilities tables is determined based on the expert information; available medical research focused on the identification of the similar relationships between the elements of the diagnostic process; historical statistics. The simulation results show that the developed Bayesian belief network enables one to solve probabilistic forecasting tasks based on subjective and incomplete data. The former are obtained during questioning the sufferer; the latter are based on the computer vision systems (examination) and sensors for various purposes (manipulation) that are installed on specialized robots. The developed tools are focused on the rescue robotics based on intelligent hardware and software for human-robot interaction.

Název v anglickém jazyce

Modeling of injured position during transportation based on Bayesian belief networks

Popis výsledku anglicky

Development of rescue robotics for injured transportation connected with problem of selection of injured position based on trauma type. The paper presents a model of a position of the injured during transportation based on Bayesian belief networks. The developed Bayesian belief network structure is represented by the signs of trauma, trauma itself, positions for transportation of the sufferer corresponding to trauma, and the relationships between them. Conditional probabilities tables is determined based on the expert information; available medical research focused on the identification of the similar relationships between the elements of the diagnostic process; historical statistics. The simulation results show that the developed Bayesian belief network enables one to solve probabilistic forecasting tasks based on subjective and incomplete data. The former are obtained during questioning the sufferer; the latter are based on the computer vision systems (examination) and sensors for various purposes (manipulation) that are installed on specialized robots. The developed tools are focused on the rescue robotics based on intelligent hardware and software for human-robot interaction.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the First International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'16), Volume 2

ISBN

978-3-319-33815-6

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

8

Strana od-do

81-88

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Sochi, Russian Federation

Datum konání akce

16. 5. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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