This project brings together a diverse group of subject matter experts from industry and academia under one umbrella, with the main aim of enhancing and advancing future healthcare processes and systems using sensory and machine learning technologies to provide emotional (affective) and cognitive insights into patients well-being so as to provide them with more effective treatment across multiple medical domains. The objective is to develop technologies and methods that will lessen the enormous and growing health care costs of dementia and related cognitive impairments that burden European citizens, which is estimated to cost over €250 Billion by 2030.

From a technical perspective, the primary objective is to “develop a cloud based affective computing operating system capable of processing and fusing multiple sensory data streams to provide cognitive and emotional intelligence for AI connected healthcare systems”. In particular the consortium will:

• Specify and engineer the architecture of the SenseCare platform and release two versions of the platform cloud infrastructure during the life of the RISE project.
• Create and evaluate two use case test pilots (relating to the dementia care and connected health medical domains) that integrate with, use and apply the services of the SenseCare platform.
• Specify and engineer a number of medical informatics applications that will run on the SenseCare platform and that will also be tested and evaluated as part of the use case test pilot phases.

We will develop a cloud-based operating system platform which will deliver user(s) cognitive/affective state data from the fusion of multiple data streams from sensory devices. We will exemplify the use of the platform through its application in the dementia care and connected healthcare domains. The overall approach is summarized in the figure below:

The project is part of the EU funding program Marie Skłodowska-Curie RISE Action (MSCA RISE) as an employee exchange. The project format is to promote international and intersectoral cooperation through the exchange of personnel and knowledge. The aim is to strengthen cooperation between academic and non-academic institutions.

The outputs of the project will lead to significant and lasting impact on the innovation potential of the individual researchers, their host organisations as well as impacting in a much wider sense at a European and global level.

FTK processes the realization of semantic data fusion software layer for the comprehensive integration of sensor data streams. The data collected by sensors from people with dementia in their living environment are analyzed in order to draw conclusions about the potential for increasing their well-being.

Project Partner:

• CIT - Cork Institute of Technology, Irland
• University of Ulster, Irland
• FTK - Forschungsinstitut für Telekommunikation und Kooperation, Deutschland
• GLOBIT GmbH, Deutschland
• Inmark Europa, Spanien