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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.

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-1

Coordinator

PRIEBE MATHIAS
Net EU contribution
€ 50 000,00
Address


Germany

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 71 429,00