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Personal Health Interfaces Leveraging Human-Machine Natural Interactions

Descrizione del progetto

Studiare come l’IA può consentire di fornire una migliore assistenza sanitaria

Le applicazioni di intelligenza artificiale (IA) stanno trasformando il modo in cui vengono erogate le cure sanitarie. Dai dispositivi indossabili e medici alle piattaforme e i servizi incentrati sui dati, l’IA è in grado di semplificare la vita di medici e pazienti. Il progetto PhilHumans, finanziato dall’UE, approfondirà nuovi metodi basati sull’IA per l’interazione uomo-macchina nel campo della salute personale attraverso un programma di formazione sulla ricerca ben progettato e strutturato in modo efficace. In particolare, questo progetto internazionale, intersettoriale e interdisciplinare offrirà borse di studio dottorali delle azioni Marie Skłodowska-Curie a otto ricercatori all’inizio della propria carriera, dotandoli del potenziale di porsi in prima linea nella futura innovazione in materia di IA e di realizzare un’interazione utente con i propri dispositivi per la salute personale in un modo avanzato. Il progetto richiederà una comprensione a livello interdisciplinare che spazierà dall’informatica cognitiva all’apprendimento (profondo) automatico, passando per lo sviluppo aziendale.

Obiettivo

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.

Coordinatore

PHILIPS ELECTRONICS NEDERLAND BV
Contribution nette de l'UE
€ 531 239,76
Indirizzo
HIGH TECH CAMPUS 52
5656 AG Eindhoven
Paesi Bassi

Mostra sulla mappa

Regione
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 531 239,76

Partecipanti (5)

Partner (10)