Since I joined the Affective & Visual Computing Lab (AVCL) in March 2016, I have been part of UM team in ProCare4Life and MaTHiSiS, under the supervision of Associate Prof. Stylianos (Stelios) Asteriaids.

Large Scale pilots of personalised & outcome based integrated care: PROCareLife – PeRsOnalized Integrated CARE Solution for Elderly facing several short or long term conditions and enabling a better quality of LIFE

The main contribution of PROCareLife consists in proposing an integrated scalable and interactive care ecosystem, which can be easily adapted to the reality of several chronic diseases, care institutions and end-user requirements, benefiting all the involved actors, from patients, to caregivers and health professionals. Its main contributions consist of: (a) building an integrated scalable and interactive care ecosystem for neurodegenerative diseases and adaptable to other chronic conditions; (b) finding the best actions/measures from a medical and social point of view that can facilitate an improved quality of life, awareness and care management for senior users suffering of neurodegenerative and/or other chronic diseases; (c) provide a personalized recommendation and interaction model, which can support the user through gamification techniques to adopt healthy habits, maintain a good daily routine and follow the prescribed actions by the professionals for maintaining and improving their health condition; (d) enable multi-disciplinary communication between all involved stakeholders, better time management for social and health professionals and contribute to achieving a cost-efficient, flexible and high adaptable solution for senior users suffering of short or long term conditions.

MaTHiSiS – Managing Affective-learning THrough Intelligent atoms and Smart InteractionS

The MaTHiSiS learning vision is to provide a product system for vocational training and mainstream education for both individuals with an intellectual disability and non-diagnosed ones. This product system consists of an integrated anthropocentric platform, along with a set of learning components (educational material, digital educational artifacts etc.), which will respond to the needs of a future educational framework and provide capabilities for: i) adaptive learning, ii) automatic feedback, iii) automatic assessment of learner’s progress and behavioral state, iv) game-based learning. MaTHiSiS will make use of cutting-edge technologies in learning settings that range from specialized robots and mobile devices to interactive whiteboards and will advance them to a greater degree of integration into the market. MaTHiSiS will create a novel and continuously adaptable “robot/machine/computer”-human interaction educational scheme which adapts to different learning requirements and makes use of the shared knowledge among its different components to advance learning beyond linear social skill acquisition towards more workplace-oriented activities.

The MaTHiSiS consortium is coordinated by Atos Spain and consists of 18 beneficiary organizations from 9 different Member States collaborating, namely Spain, France, Greece, UK, Netherlands, Belgium, Italy, Lithuania and Germany.