Opendata, web and dolomites

STOP SIGNED

STop Obesity Platform

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "STOP" data sheet

The following table provides information about the project.

Coordinator
FTK FORSCHUNGSINSTITUT FUR TELEKOMMUNIKATION UND KOOPERATION EV 

Organization address
address: MARTIN-SCHMEISSER WEG 4
city: DORTMUND
postcode: 44227
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 929˙200 €
 EC max contribution 929˙200 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2018
 Funding Scheme MSCA-RISE
 Starting year 2019
 Duration (year-month-day) from 2019-03-01   to  2023-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FTK FORSCHUNGSINSTITUT FUR TELEKOMMUNIKATION UND KOOPERATION EV DE (DORTMUND) coordinator 165˙600.00
2    CORK INSTITUTE OF TECHNOLOGY IE (Cork) participant 165˙600.00
3    GLOBIT-GLOBALE INFORMATIONSTECHNIKGMBH DE (BARSBUTTEL) participant 151˙800.00
4    OKKAM SRL IT (TRENTO) participant 151˙800.00
5    INCONTEC GMBH DE (BURGHASLACH) participant 110˙400.00
6    UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II IT (NAPOLI) participant 101˙200.00
7    UNIVERSITY OF ULSTER UK (COLERAINE) participant 82˙800.00

Map

 Project objective

The STOP project will bring together an interdisciplinary and intersectoral group of subject matter experts from industry and academia under one umbrella, to address the health societal challenge of obesity with the specific objectives of mitigating the enormous and growing Health Care costs of obesity and related health issues (like heart disease, diabetes, arthritis, liver disease, gallstones, cancer, dementia) that burden European citizens. The STOP project will address this need through the foundation of an innovative platform to support persons with obesity with a better nutrition under supervision of healthcare professionals. Therefore, the STOP platform will capture various PwO data from different kind of smart sensor streams and chatbot technology, manage and enrich available data with existing knowledge bases and fuse these by machine learned driven data fusion approaches for sophisticated AI data analysis. Essentially, this gathered and analysed data and knowledge is accessible and usable for Health Care professionals amongst others as input for a gamification approach to teach PwO healthier nutrition. In the STOP validation an app that establishes an analogy to Dorian Gray mirror, teaching healthier nutrition.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "STOP" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "STOP" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.3.)

ROVER (2020)

RELIABLE TECHNOLOGIES AND MODELS FOR VERIFIED WIRELESS BODY-CENTRIC TRANSMISSION AND LOCALIZATION

Read More  

MAIL (2019)

Identifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO2sequestration strategy

Read More  

MEGA (2019)

Heavy metal free emitters for new-generation light sources

Read More