Projects

NEARBY – Noise and variability-free BCI systems for out-of-the-lab use

Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an …

FedWell – Life-Long Federated User and Mental Modeling for Health and Well-being

Adaptive and personalized AI systems in healthcare and well-being rely on information about users and usage situations to provide the best possible …

ToCaro – Experiencing together - sharing emotions

Social interaction is one of the essential factors that determine personal quality of life, which is also shown by the spread of social media. But the …

RZZKI_SL-RLP-2 – Regionales Zukunftszentren Künstliche Intelligenz Saarland und Rheinland-Pfalz (Folgeprogramm)

Future centers (KI); support of small and medium-sized enterprises and employees in the exemplary and participatory testing of new technologies, such …

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support …

PYSA – Care documentation with a hybrid speech assistant

Comprehensive and accurate documentation is essential for needs-based care. In many places, the systems and processes used today for care …

Ophthalmo-AI – Intelligent, Cooperative Medical Decision Support in Ophthalmology

The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine …

KI@Home – Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the …

KItatta – KI-Verfahren erkennen Qualität von Spenderhornhäuten

In Deutschland werden jährlich mehr als 9.000 Hornhauttransplantationen durchgeführt. Trotz strenger Qualitätskriterien sind bei etwa 4-5 % der …

MePheSTO – Digital Phenotyping 4 Psychiatric Disorders from Social Interaction

MePheSTO is an interdisciplinary research project that aims to develop a scientifically grounded, artificial intelligence based methodology for …