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Manchester Institute for Collaborative Research on Ageing

MoveCare: Multiple actors virtual empathic caregiver for the elder

MoveCare develops and field tests an innovative multi-actor platform that supports the independent living of older people at home by monitoring, assisting and promoting activities to counteract decline and social exclusion.

It integrates an existing robotic system with domotic sensors, smart objects, a virtual community and an activity centre. It provide assistance, transparent monitoring and activities to the elder at home through a full-fledged, modular, personalized, and compliant approach that does not require the elder to wear any particular device or to change their habits

It uses artificial intelligence and machine learning to propose a personalized mix of physical/cognitive/social activities as exergames. The system is evaluated in home care settings in Italy and Spain, with additional experiments on human-robot interaction with older people in the UK.

 

The Cognitive Robotics Lab at Manchester provides expertise on human-centred AI for assistive robotics and care

Prof Angelo Carlosi, The University of Manchester

Project objectives

Movecare comprises 3 hierarchical layers

  1. A service layer provides monitoring and intervention
  2. A context-aware Virtual Caregiver, embodied into a service robot, to propose to the elder a personalized mix of physical/cognitive/social activities as exergames
  3. The users’ community, to promote socialization acting as a bridge towards the elders’ ecosystem: other elders, clinicians, caregivers and family

Principle investigator

  • Professor Angelo Cangelosi

Additional universities/external partners

University of Milan (Alberto Borghese, project coordinator), University of Oxford, University of Plymouth, OREBRO University Sweden, Malaga University Spain, Milan Policlinico University Hospital, and seven other academic and industry partners.

Funding period

January 2019 – March 2020

Disciplines involved

Artificial intelligence, cognitive robotics, allied health disciplines

Project website