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META DATA ANALYSIS LAB to Enhance Training Quality

Project description

Sweating to the beat of semantic analysis

More and more Europeans are inserting health-enhancing physical activity into their daily routine. To achieve better results, personal trainers strive to improve their competences and techniques, especially related to endurance training, rehabilitation and health precaution. Even though it is not easy, the existing amount of data from different fields could revolutionise training methods and bring new useful tools. The EU-funded MyGoalMEDAL project aims to engage machine learning in an interdisciplinary semantic analysis of existing international data from connected fields. The goal is to systemise metadata from all promising experiences, leading to disruptive innovations with new tools and applications for e-health and sports workouts.

Objective

How are you? A simple question and people’s answers to it lead to a disruptive plan. The interdisciplinary approach to semantic analysis and machine learning is a shift of paradigm in endurance training, rehabilitation, and health precaution. It will boost our business and solve a problem all personal trainers have. There is a natural growth limitation in 1:1 care because of time consuming efforts. Machine learning helps us to systemize and up-scale what we already do successfully. Listening and understanding are the key competences for our corporate promise: “Achieve Your Goal Healthy!” We have developed a plan with global implications for e-health.

We will show how we are going to transform the results of machine learning from particular data sources into a must-have application for trainers and for their clients. The proposal shows how this can be done on large scales with a little help from our competitors. Thereby we include an underestimated data perspective in sports, but health care too. We want to find out, how to implement and up-scale our strategy that leverages trainer’s best practice internationally. A simple solution and a starting point from within a market niche will lead to a disruptive innovation. The outcome will enable huge business opportunities not only in sports, but in rehabilitation and health precaution.

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

PRIEBE MATHIAS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address


Germany

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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