b-SLIM - A multi-source online super coach for sustainable weight loss
From 01-04-2014 to 31-03-2016
Description
The influcence of ICT in online (digital health) coaching with respect to monitoring, datacaptation, data management and organisation of coaching feedback is increasinglyimportant. A variety of powerful sensors and technologies that can be used for self-trackingare constantly emerging.
This fits the trend of “the quantified self” or how we increasinglytrack our own health parameters by mobile devices. Especially devices that measurephysical activity – such as pedometers, gyroscopes, etc…have recently experienced a surgein popularity. Most of these tools are quite generic and intend for their users to adopt a“healthier lifestyle”.
However, despite its obvious advantages, a “multi-modal” weight loss coach, integrating allrelevant weight loss parameters such as food-intake, physical activity, mood and motivationhas to our knowledge not been developed to date. Up till now, lifestyle coaching has mainlyused self-reported data, or rarely medical information that is neither continuously availablenor updated. By creating a complete “behavioral profile” of an individual, an optimizedintegrative tailored intervention could be designed, focusing on all relevant aspects of weightloss, including motivation, beliefs, behavior and biometrics.
The key research question of this project is therefore: how can we derive meaningfrom multimodal self-monitoring with respect to sustainable weight loss and how canwe utilize this information to improve weight loss coaching?
Team
- Peter Claes, External Partner (External)
- Jan Sijbers, External Partner (External)
- Jan Seghers, External Partner (External)
- Greet Vansant, External Partner (External)
- Rudiger Mees, External Partner (External)
- Tim Lammens, External Partner (External)
- Claudia Put, Project Leader (External)
- Babs Weyn, Proposal Manager (External)
- Karin Slegers, Research Leader (External)
- Inge Thijs, Team member
- Jan Aerts, Team member
- Raf Winand, Team member
Financing
Funding: iMinds - Flanders' digital research center and incubator
Program/Grant Type: ICON - iMinds ICON
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.