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VIPSAFE: Automated Visual Monitoring for Improving Patient SAFEty




Project NumberTUBITAK 109E134

Project LeaderAytul Ercil, Rainer Stiefelhagen, Ceyhun Burak Akgul, Keni Bernardin
Project SupervisorAytul Ercil, Rainer Stiefelhagen, Ceyhun Burak Akgul, Keni Bernardin
Project Team
  • Turkish Partners
    • Sabanci University VPALAB:
      Prof. Dr. Aytul Ercil
      Kamer Ali Yuksel (PhD Student)
      Farhood Negin (MS Student)

    • Vistek ISRA Vision:
      Dr. Ceyhun Burak Akgül
  • German Partners
    • Computer Vision for Human-Computer Interaction Lab:
      Prof. Dr. Rainer Stiefelhagen

    • Videmo Intelligente Videoanalyse GmbH und Co. KG:
      Dr. Keni Bernardin

  • Supporting Organizations
    • TUBITAK
    • BMBF

    ContactAytul Ercil Send e-mail

    Start Date2010.09.01
    End Date2013.08.31
    StatusCompleted
    Project Description
    VIPSAFE is a R&D Project fruit of a collaboration between two research centers: Sabanci University and Kalrsruhe Institut of Technology, and two companies: Videmo and Vistek. This 36 month long project is co-funded by Tübitak and BMBF with the main goal of improving patients’ safety by means of automated visual monitoring.

    Population ageing is taking place in every country and region across the globe due to the rising life expectancy and the declining of birth rates. At the same time, the nations are facing an explosion of costs in the health-care sector as threating elderly people is 3 to 5 times more expensive than for those under 65. The dramatic increase of the elderly population along with the explosion of costs poses extreme challenges to society.

    Thus under VIPSAFE we develop novel techniques for automated visual monitoring of patients and elder people living in nursing homes or in their (assisted) home environments. We are developing vision-based sensors to determine if someone has fallen, if someone has not arisen from bed, whether a patient in the intensive care unit is showing unusual behavior or whether a patient is about to hurt himself by removing life-keeping devices or cables from his body.

    Such automated techniques to detect critical and possibly life-threatening situations can then be used to automatically alert clinical personnel or care providers. This systems will thus have a direct impact in improving patient safety in hospitals and nursing homes.

    A resulting database is WorkoutSU-10.
    Resulting Papers
    In the framework of the "Automated Visual Monitoring for Improving Patient SAFEty" project, the following papers are published:

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