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Dr.-Ing. Jan Alexandersson

Organizational unit Cognitive Assistants
Contact +49 681 85775 5347 (Saarbrücken)

http://www.dfki.de/~janal/
Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 3D-66123 Saarbrücken

Publications

Detecting the corneal neovascularisation area using artificial intelligence

Burak Mergen; Tarek Safi; Matthias Nadig; Gopal Bhattrai; Loay Daas; Jan Alexandersson; Berthold Seitz

In: British Journal of Ophthalmology (BJO), BMJ Publishing Group Ltd, 2023.

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MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

Philipp Müller; Michal Balazia; Tobias Baur; Michael Dietz; Alexander Heimerl; Dominik Schiller; Mohammed Guermal; Dominike Thomas; François Brémond; Jan Alexandersson; others

In: Proceedings of the 31st ACM International Conference on Multimedia. ACM International Conference on Multimedia (ACM MM-2023), Pages 9640-9645, ACM, 2023.

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PARTAS: A Personalizable Augmented Reality Based Task Adaption System for Workers with Cognitive Disabilities

Matthias Jost; Andreas Luxenburger; Sönke Knoch; Jan Alexandersson

In: PETRA '22: The15th International Conference on PErvasive Technologies Related to Assistive Environments. International Conference on Pervasive Technologies Related to Assistive Environments (PETRA-2022), 15th ACM International Conference on PErvasive Technologies Related to Assistive Environments, located at ACM - Association for Computing Machinery Digital Library Proceedings, June 29 - July 1, Corfu, Greece, Pages 159-168, Association for Computing Machinery, New York, NY, United States, 7/2022.

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All publications

Profile

  • GAIN

    Georgian Artificial Intelligence Networking and Twinning Initiative

  • 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 volunteers' flats and their base health status…

    KI@Home

  • 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 Transplantate postoperativ warzenförmige Veränderungen…

    KItatta

  • 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 identifying and classifying measurable, and thus…

    MePheSTO

  • AI-Watch

    AI-supported telemonitoring of cardiac condition

    High-risk cardio patients need permanent monitoring, making a normal life difficult or impossible. AIWatch allows them to leave the hospital and live independently, yet safely, with a unique…

    AI-Watch
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