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SmartEater SIGNED

Enhancing recovery from eating and weight disorders using mHealth and psychological theory

Total Cost €

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EC-Contrib. €

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Partnership

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 SmartEater project word cloud

Explore the words cloud of the SmartEater project. It provides you a very rough idea of what is the project "SmartEater" about.

movement    health    justified    appropriate    personal    input    domain    speaking    quality    calls    privacy    smartphone    manual    progressively    near    binge    disorders    clinics    combined    transfer    smartphones    basis    predictions    follow    obesity    progress    domains    stress    personalized    psychological    substitute    temporal    screen    adherence    entries    skepticism    protection    patient    situation    enter    logging    noise    treating    german    eating    weight    content    levels    pattern    thereby    promises    bouts    holds    background    app    enforces    full    sensitive    tested    smarteater    rigorously    frequent    prediction    foods    burden    launch    population    apps    series    upcoming    learns    intelligent    algorithms    missing    cumbersome    care    settings    models    usefulness    individually    nature    individual    professional    insurances    internet    strict    life    craving    intervention    poor    learning    groups    messages    routed    reducing    disorder    age    treatment    therapeutic    data    efficacy    sensor    tips    traffic    profit    mhealth    ing    ubiquitous    machine    mobile    socioeconomic    provides    markets    patterns    successful    daily    coutries    behavior    crises    digitalization    repeatedly    sophisticated    overeating    time   

Project "SmartEater" data sheet

The following table provides information about the project.

Coordinator
PARIS-LODRON-UNIVERSITAT SALZBURG 

Organization address
address: KAPITELGASSE 4-6
city: SALZBURG
postcode: 5020
website: www.uni-salzburg.at

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 Austria [AT]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2020-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PARIS-LODRON-UNIVERSITAT SALZBURG AT (SALZBURG) coordinator 61˙250.00
2    FACHOCHSCHULE SALZBURG GMBH AT (PUCH BEI HALLEIN) participant 88˙750.00

Map

 Project objective

Smartphones are ubiquitous in all age groups and socioeconomic levels and digitalization of various life domains is in full progress. While there are several areas where skepticism is justified, the personal health domain still holds high promises, particularly when applied in specific settings. The proposed mHealth app SmartEater provides intelligent mobile logging of stress, and eating behavior as a basis for intervention and follow-up care in clinics treating eating disorders and obesity. Current apps require frequent and cumbersome entries, resulting in low user adherence and poor data quality. Evidence for their usefulness is often missing. Further, therapeutic content is not personalized. In SmartEater, users repeatedly enter data on experienced craving for foods and stress. SmartEater then ‘learns’ from the user through sophisticated machine learning algorithms: data from smartphone usage patterns (e.g. screen-on time, calls, messages, internet traffic) and sensor data (e.g. movement, background noise) are combined to substitute for manual user input, thereby progressively reducing user burden. Temporal pattern analysis of individual time-series allows prediction of stress and craving bouts into the near future. Such predictions allows the app to respond to upcoming eating 'crises’ e.g. overeating/binge eating and launch situation-appropriate tips that have been developed individually for the user during in-patient treatment. SmartEater will be routed in psychological models of eating behavior and rigorously tested in the described population to evaluate efficacy. Due to the sensitive nature of such data, SmartEater enforces strict privacy protection. Targeted markets include health insurances which profit from improved patient health and successful transfer into daily life after professional treatment as well as clinics with an eating/weight disorder focus in German speaking coutries.

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

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