Health related Activity Recognition system based on IoT

A current trend in healthcare involves the prevention of chronic diseases by changing behaviour towards more healthy lifestyle choices. This is supported by the increased use of wearable sensors and Internet of Things (IoT) devices. Human activity recognition and vital sign monitoring play a significant role in tailoring personal health and behaviour change coaching solutions to each individual, but pose a number of technical, legal, and socio-economic issues, which must be solved to enable a commercial viable solution. One of the the HEART project aims is to release a health integrated activity recognition platform able to detect activities from heterogeneous data, using scalable algorithms, while safeguarding the privacy of the persons. The project was funded by an H2020-ES-MSCA-ITN Marie Sklodowska-Curie Action. More information on

  • Funding authority: EU
  • Funding type: Marie Sklodowska-Curie – ITN Industrial Doctorate
  • Partners : KU Leuven, Philips, University of Macerata (UNIMC)