Projet PhilHumans (Horizon 2020, appel à projets 2018)
Action : Doctoral Networks - Industrial Doctorates
Panel : Information Science and Engineering
Statut du projet : SIGNED

The goal of the PhilHumans (Personal Health Interfaces Leveraging Human-MAchine Natural interactionS) project is to train a next generation of young researchers in innovative Artificial Intelligence (AI) and establish user interaction with their personal health devices in an advanced and intuitive way. PhilHumans will investigate cutting-edge AI methods for human-machine interaction in the personal health domain through a well-designed and structured research training programme, with the aim to enhance EU firms competitiveness in the field for an effective and lasting market penetration in EU. The research in PhilHumans will be performed by an intersectoral and multidisciplinary consortium consisting of 8 ESRs and a team of supervisors from the academic beneficiaries (University of Cagliari, University of Catania, University of Aberdeen, and Technical University of Eindhoven (TU/e)), the industrial beneficiaries (PHILIPS and R2M), and other external partners. The project will require the creation of a blend of interdisciplinary understanding of personal digital assistant, cognitive computing, (deep) machine learning, natural language generation & processing, advanced computer vision, and business development. The personal health areas that will be investigated are Mother&Child care, healthy-living and personal care, where the application of the proposed technology has promising potential. All ESRs will enroll in a 3-years PhD research programme at beneficiary academic institutions. They are supposed to act as an integrated and complementary expertize team, whose aim is to tackle the fundamental challenge of combining heterogeneous data sources from multilingual speech/text processing and computer vision for improving conversation, detecting emotions, and improving social interactions. All the academic ESRs for at least 50% of their time will attend their secondment at PHILIPS, which will provide the required infrastructure and supervision by senior research staff.

Mots clés : personal health care, human machine interaction, artificial intelligence, cognitive computing, deep  machine learning, natural language processing, natural language generation and, advanced computer vision

Participants :
- University of Catania (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 522999.36 €
- Tilburg University (Pays-Bas) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- University of Essex (Royaume-Uni) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Arria nlg (uk) limited (Royaume-Uni) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- National University of Ireland (Irlande) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Fondazione Bruno Kessler (Italie) — Partner, organization partner, Recherche, subvention : 0.0 €
- University of Aberdeen (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 303172.56 €
- University of Pavia (Italie) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Zora robotics n.v. (Belgique) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université Sorbonne Paris Nord (France) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Eindhoven University of Technology (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 265619.88 €
- University of Cagliari (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 261499.68 €
- R2M Solution (Italy) (Espagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 250904.88 €
- Philips (Netherlands) (Pays-Bas) — Coordinator, beneficiary, Organismes privés (hors enseignement), subvention : 531239.76 €
- Delft University of Technology (Pays-Bas) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Philips (United States) (Etats-Unis) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €