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Sensor Enabled Affective Computing for Enhancing Medical Care

Project Summary

SenseCare will enhance and advance future healthcare processes and systems using sensory and machine learning technologies to provide emotional (affective) and cognitive insights into patients well-being.

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. SenseCare 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.

Main Objectives of Project

The main aim is that SenseCare for the healthcare sector will lead to significant financial and productivity gains for the sector worldwide. Patients and medical professionals will now have insights into both physical and cognitive states. How these states interact medically and potential patient impacts will be understood at a much more fine-grained level by all. Such innovations will ultimately lead to factors such as reduced hospital bed occupancy numbers, reduced medical risk, better overall patient care, holistic insights, reduced financial costs, mitigating legal and insurance exposure, new data for medical research and the potential for patients to play an ever-increasing role in their own recuperation process.

Nimbus Role


Within SenseCare Nimbus Centre researchers are collaborating with colleagues from CIT’s Sigma Research Group to:

  1. Develop and apply affective computing algorithms to form the intelligent nucleus of the SenseCare platform. New innovative algorithms and techniques will be invented and applied alongside established technologies from the field(s).
  2. Develop a number of input interfaces for specific sensory devices such as cameras, wearables and Internet of Things.
  3. Build methods of assessment and evaluation to benchmark the performance of the integrated affective computing platforms.
  1. Nimbus Centre- Cork Institute of Technology
  2. Sigma Research Group- Cork Institute of Technology
  3. University of Ulster
  4. Forschungsinstitut für Telekommunikation FTK
  5. GLOBIT- Global Information Technology GmbH

Funding Body

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No 690862.


Project Start Date: 01 January 2016

Duration: 48 months

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