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Personal Health Interfaces Leveraging Human-Machine Natural Interactions

Descripción del proyecto

Estudiar cómo puede la IA dar lugar a una mejor atención sanitaria

Las aplicaciones de inteligencia artificial (IA) están transformando el modo en que se presta la atención sanitaria. La IA, presente tanto en dispositivos vestibles y productos sanitarios como en plataformas y servicios relativos a los datos, puede facilitar la vida a médicos y pacientes por igual. En el proyecto PhilHumans, financiado con fondos europeos, se investigarán nuevos métodos de IA para la interacción persona-máquina en el ámbito de la salud personal a través de un programa de formación en investigación bien diseñado y estructurado. En concreto, este proyecto internacional, intersectorial e interdisciplinar ofrecerá becas de doctorado Marie Skłodowska-Curie a ocho investigadores noveles que tengan potencial para convertirse en los líderes de la IA innovadora del mañana y determinar la interacción del usuario con sus dispositivos de salud personal de forma avanzada. El proyecto requerirá una comprensión interdisciplinar, que abarque desde la computación cognitiva hasta el aprendizaje automático (profundo) y el desarrollo empresarial.

Objetivo

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.

Coordinador

PHILIPS ELECTRONICS NEDERLAND BV
Aportación neta de la UEn
€ 531 239,76
Dirección
HIGH TECH CAMPUS 52
5656 AG Eindhoven
Países Bajos

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Región
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 531 239,76

Participantes (5)

Socios (10)