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Activity profile: Leuphana University Lüneburg, Institut VauST
Our organisation type is:: University
We are active in the following Technologies: Communication, Human-machine-interface, Medicine, Sensors & actuators, Smart home, Software, web & networks, Tele-monitoring
Action type: Research, Development, Testing / Trials, Service innovation, Social Science / Elderly, Public health
Applications: Health & wellness, Safety, security, privacy, Information and learning, Home care, Mobility
Abstract
VauST is seeking to join a consortium for the Ambient Assisted Living call 3 – ICT-based Solutions for advancement of elderly persons’ independence and participation in the “Self-serve society”. The main field of activity of VauST is the development and the implementation of adaptive assistive systems with cognitive capabilities for home environments. A typical application area is autonomous monitoring and diagnostics of cardiovascular diseases supporting general practitioners. Further projects are ambient intelligence in the context of building automation scenarios (smart buildings) and assistive systems for users of electric vehicles.
The deadline for this call is the 30th July 2010.
Description
The institute VauST of the Leuphana university of Lueneburg researches and develops assistance systems in order to secure the safety and autonomy of elderly people in their usual environment by the use of ambient, non-stigmatizing technologies.
The main fields of activity are:
· architectures of technical assistance systems for immobile and mobile scenarios
· the modeling of probabilistic systems and inference techniques
· the representation of knowledge with description logic and knowledge processing
The consideration of uncertain knowledge relating to the partial recognition of the environment and its system properties gained significantly more importance and established a self-contained field at the research of the artificial intelligence. The research focuses on the modeling and the representation of temporal and spatial probabilistic structures especially in the medical area and on the development of inference algorithms as well as in order to provide a situation recognition system for technical assistance system. In addition, another important aspect of work is the development of methods and techniques assisting the semantic interoperability of distributed systems. Referring to this call we are interested in projects which are dealing with the development of assistive systems for home environments.
The institute offers expertise in developing assistive platforms using probabilistic methods of artificial intelligence. Furthermore the contactless acquisition of life parameters by the use of UWB sensor-systems, the integration of telemedicine devices, data fusion and inference based on probabilistic models are our techniques for autonomous detection of life critical situations. User integration using bio-feedback mechanisms could be an appropriate technology for self-serve approaches addressed by this call. Further possible scenarios could be the development of ambient intelligence systems in the context of building automation.
