Personal Health Interfaces Leveraging HUman-MAchine Natural interactionS

The goal of the PhilHumans 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. The project will explore cutting-edge research topics related to AI-supported human-machine interfaces for personal health services.

PhilHuman's Objectives
Overview of the research

- Semantic web
- Natural language understanding
- Sentiment & emotion detection
- Multilinguality support

- Natural language generation
- Insights mining
- Creation of summaries and specific content

- Computer Vision & Machine Learning
- Context / Action / Object Recognition & Anticipation
- Facial Analysis for emotions understanding
- Body Pose Analysis
- First Person (Egocentric) Vision

- Conversational interfaces for home healthcare, chat bots, Q&A
- Integration of clinical knowledge, guidelines, data analytics, and counselling knowhow

- Application and exploitation of industrial use cases
- EU business plans development
- Economic technological aspects

Early Stage Researchers


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