Data-Driven Lifestyle Support through Smart Devices

In this project, the aim is to develop approaches that enable more personalized forms of support for a healthy lifestyle. Hereto we focus on data collected via various smart devices which we use to create highly personalized interventions. In addition, we intend to derive different sets of users with similar preferences. The project is part of a large AAA Data Science project and is a collaboration with Philips Research.

Partner

Team

Bart Kamphorst

Postdoc

Bart Kamphorst

Dr. Mark Hoogendoorn

Assistent Professor

Dr. Mark Hoogendoorn

Prof. dr. Guszti Eiben

Head of the Group

Prof. dr. Guszti Eiben