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Grants

RVO - MIT Feasibility Study Grant awarded by Provincie Noord-Holland

Fitsurance E - Motivation 

Project Summary (Translated from the original in Dutch) 

In this project, Fitsurance will investigate the feasibility of a Reinforcement Learning system that should analyze the best method to motivate someone to exercise more. The software under investigation
is intended for patients with a metabolic disease and as a preventive treatment for healthy people to prevent metabolic diseases.
This feasibility study investigates the best method to analyze the data and convert it into predictive values using Reinforcement Learning and other Machine Learning methods. In addition, it is investigated what is the minimum amount of data required to train the AI models.

 

Provincial
Provincie Noord-Holland

Grants

RVO - MIT Feasibility Study Grant

Fitsurance - your way to a healthy, productive and cheerful workforce 

Description 

This feasibility study investigates the development of the Fitsurance app, a mobile application (iOS and Android) that is part of the Fitsurance platform. The goal of Fitsurance is to improve health and wellbeing of employees. The app must improve health through automated health data analysis and personalized feedback. This project is in line with the objectives of the top sector 'High-tech Systems & Materials and ICT'. This study has a focus on the sub-theme “ICT for monitoring and control” as the app aims to monitor health and give the user control over one’s health. Another related sub-theme is “Big Data”. Based on Big Data, the content of the app and the personalized feedback messages can be tailored to the needs and requirements of the individual. The technical feasibility question is whether it is possible to stimulate healthy behaviour through personalized feedback in an app and what is the necessary software to make this possible. This algorithm must learn from the data input and send the user updates, reminders and motivational messages (push-notifications). This feasibility study will investigate the possibilities of such an algorithm and the necessary minimum data-set to enable the desired functionalities in the app.


Rising healthcare costs and absenteeism from work are a big and expensive problem. These increasing health care costs are partially consequences of physical inactivity, a sedentary lifestyle and poor dietary choices, resulting in an increased occurrence of non-communicable diseases. Combining physical activity and healthy dietary habits seem to be the key to accomplish a decrement in health care costs. Fitsurance therefore focuses on preventing diseases rather than curing diseases by introducing a new system in which leisure time physical activity is encouraged. Fitsurance sees it as their mission to support a healthy, productive and cheerful workforce.

 

International
RVO

Grants

NWO Take-off Phase-1 Grant

Fitsurance - Health is Wealth

Description

Health costs in the Netherlands are rising faster than the GNP. The rise in costs is partly due to the lack of sufficient daily activity, poor dietary choices and in some cases lack of knowledge about general health. As a result of this, the incidence and prevalence of cardiovascular diseases, diabetes and cancer is increasing with a concomitant substantial rise in health costs as a result. To tackle this problem, the population needs to live more healthily and this can be realized by increasing the general awareness of health. We want to achieve this by offering individuals a health check-up linked to a consultation about exercise and nutrition. The consultation will be offered through a mobile application that will also monitor the daily activity. Not only the population will benefit from this, but also companies (decrease in sick leave), health insurers (decrease in medical costs and incidence of illness) and the government (healthier population) benefit.
 
International
NWO

Academic qualification

Electrical and Computer Engineering, Master, Oklahoma State University

Award Date: 31 May 2012

Instrumentation & Control Engineering, Bachelor, SRM University

Award Date: 31 May 2010

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