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The AIT Austrian Institute of Technology is an Austrian research institute with a European format and focuses on the key infrastructure issues of the future. The AIT, which comprises five independent and performance-driven departments (Energy, Mobility, Health & Environment, Safety & Security and Foresight & Policy Development), works in close collaboration with industry and customers from public institutions, striving to increase their added value through innovation and new technologies. The AIT Austrian Institute of Technology is a highly-specialised Research & Development partner focusing on key infrastructure issues of the future. It is geared towards developing the methods and technologies of tomorrow for the innovations of the day after tomorrow. The Republic of Austria (through the Federal Ministry for Transport, Innovation and Technology) has a share of 50.46%, while the Federation of Austrian Industries owns 49.54% of the AIT Austrian Institute of Technology. The AIT Austrian Institute of Technology, with facilities at Tech Gate Vienna (management headquarters), Tech Base Vienna (formerly arsenal research), Seibersdorf, Wiener Neustadt, Ranshofen and Leoben, is focused on applied research, innovation and technology

Role in the consortium:
AIT will mainly work on the Knowledge Based System (KBS) for Fall Prediction and Prevention (where all the different data streams and sensing signals come together and will be synthesized and used for the fall prediction model as well as for other fall preventive issues). In order to do so, AIT will use and adapt its existing eHealth Platform & Personal Health Advisor software modules, and will implement new and self-adaptive fall prediction algorithms (together with the knowledge of partners as DSHS and NeuRA). In addition, AIT will be responsible for most of the data management and security in the project. In addition, AIT will lead iTV developments, ie. novel computer vision and signal analysis software parts for automated movement tracking and recognition of specific behaviors (e.g. gestures). AIT will provide it’s know-how in optical sensor technologies, handling of the according data streams, and data fusion of the different sensor signals (video, sound, etc.)  It will also offer its system integration capabilities to the design and construction of instrumented Living Lab test environments. AIT will play a role in the exploitation and dissemination of project results.

Key Personnel:

Mario Drobics
Mario Drobics is Scientist at AIT since 2007. He has a PhD in Applied Mathematics and was area manager for knowledge-based technologies at Software Competence Center Hagenberg and associate professor at Medical Statistics and Informatics of the Medical University Vienna. His research focuses on applied data analysis, therapy management solutions, and medical informatics.

Karl Kreiner
Karl Kreiner received his master degree in information management from Technical University Vienna. Since 2003 he has been working as engineer and researcher at the Austrian Institute of Technology focusing on decision support systems for health with a particular interest in computational linguistics. In 2011 Karl was a visiting researcher at National ICT Australia.

Günter Schreier
Günter Schreier is senior scientist at AIT and head of the AIT eHealth & AAL research group. He is associate Professor for Biomedical Informatics and lecturer in eHealth, Medical Informatics and Telemedicine at three universities in Austria. He has 18 years applied research experience in eHealth and telemedicine, is head of the working group “medical informatics and eHealth” (Austrian Computer Society) and a member of the board of the Austrian Society of Biomedical Engineering and the Austrian Scientific Society for Telemedicine and eHealth. He is also the founder and conference chair of the annual international eHealth conference in Vienna (eHealth20xx).

Martin Litzenberger
Martin Litzenberger received a diploma in physics and a Ph.D. degree in electrical engineering from Vienna University of Technology in 1999 and 2003, respectively. His diploma and Ph.D. thesis were on the design and characterisation of CMOS ESD-protection devices. After finishing his Ph.D. he joined the newly founded business unit New Sensor Technologies at the AIT in Vienna, where he is developing novel embedded systems for industrial applications combining biologically-inspired analogue VLSI circuits and digital electronics. His current research is focused on the development of address-event processing algorithms for novel vision sensors comprising silicon-retina imagers and digital signal processing. Martin Litzenberger is a member of IEEE and ÖVE. He is author and co-author of more than 50 scientific publications.

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iStoppFalls Subgroup Analysis Paper Published

10. July 2017:    Data from the iStoppFalls subgroup analysis have been published in the International Journal of Human Computer Studies (IJHCS), which is available here: Analysis of...  more ›

iStoppFalls Gait Analysis Paper Published

31. March 2017:    Data from the iStoppFalls gait analysis have been published in the International Journal of Geriatric Gerontology, which is available here: Comparison between...  more ›