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PhD position within the visuAAL Marie SkƗodowska-Curie Innovative Training Network: Behaviour modelling and life logging

visuAAL Marie SkƗodowska-Curie Innovative Training Network

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Dr M Kampel No more applications being accepted Funded PhD Project (Students Worldwide)

About the Project

visuAAL is a four-year (2020-2024) Marie Skłodowska-Curie Actions Innovative Training Network, funded by the European Union, that aims at bridging the knowledge gap between users’ requirements and the appropriate and secure use of video-based AAL technologies to deliver effective and supportive care to older adults managing their health and wellbeing.

visuAAL will seek to increase awareness and understanding of the context-specific ethical, legal, privacy and societal issues necessary to implement visual system across hospital, home and community settings, in a manner that protects and reassures users; outputs will stimulate the development of a new research perspective for constructively addressing privacy-aware video-based working solutions for assisted living.

visuAAL will provide a transdisciplinary and cross-sectoral combination of training, nonacademic placements, courses and workshops on scientific and complementary skills to 15 high achieving Early Stage Researchers (ESRs). These newly hired ESRs will contribute through their individual research projects to fulfil visuAAL's aims.

visuAAL brings together 5 universities:
• Chair of Communication Science, Human-Computer Interaction Center, RWTH Aachen University, Germany
• The Swedish Law and Informatics Research Institute (IRI), Stockholm University, Sweden
• The Trinity Centre for Practice and Healthcare Innovation, School of Nursing and Midwifery, Trinity College Dublin, Ireland
• Computer Vision Lab, TU Wien, Austria
• Department of Computing Technology, Universidad de Alicante, Spain (Project Coordinator)

This Consortium is complemented by 14 partner organizations from Austria, Germany, Ireland, Italy, Portugal, Spain, Sweden, and United Kingdom; that will contribute to the research and training activities.

For more information about visuAAL, see
Project title:
Behaviour modelling and life logging
Lifelogging is a recent ICT technology that uses wearable sensors (e.g. cameras, trackers, wearable sensors) to capture, store, process and retrieve the different situations, states and context of an individual in daily life. Using a wearable camera that automatically takes 3 images per minute provides about 2000 pictures at the end of each day that can illustrate in detail which activities the person wearing the camera has done - e.g. how (s)he eats, what places (s)he visited, with whom (s)he interacted, what events (s)he attended, etc. In this way, the topic of this thesis is lifelogging in order to create personalized tools and services to monitor, store and process the behavioural skills, nutrition patterns, social environment, context and proper physical activities during long periods in an objective way.
Expected Results:
Advances in egocentric data analysis and new lines of research to move us toward storytelling from visual lifelogging. Outcomes are related to topics like (temporal) segmentation, informative image description and content based search and retrieval. In order to understand human behaviour social interactions have to be derived from imaging data.
Supervisory Committee:
• Main Supervisor: Prof. Martin Kampel (TU-Wien)
• Second Supervisor: Prof F. Florez (University of Alicante)
• Co-Supervisor: Prof R. Sablatnig (TU Wien)
• Advisor: Prof R. Bonsack (Universidade Católica Portuguesa) Dr. R. Planinc (Cogvis GMBH)
Planned secondment(s):
• Secondment 1: University of Alicante (Supervisor F. Florez) M18-M20, Research on ego centric imaging and acquisition
• Secondment 2: Universidade Catolica Portuguesa (Supervisor Dr. Bohnsack), M37-M42, Best practices and research to bring innovation to market.
Enrolment in Doctoral degree(s):
Doctoral Programme in Computer Science, Vienna University of Technology
How to apply?
Submit your application to Please, ensure that you select vacancy number ESR10.
For questions related to this project proposal, please contact [Email Address Removed]

For all other questions, please use the following email address, clearly indicating the visuAAL vacancy number ESR10: [Email Address Removed]

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