Project description FET Open Show the project objective Hide the project objective OPPORTUNITY picks up on the very essential methodological underpinnings of any Ambient Intelligence (AmI) scenario: recognizing (and understanding) context and activity.Methodologies are missing to design context-aware systems: (1) working over long periods of time despite changes in sensing infrastructure (sensor failures, degradation); (2) providing the freedom to users to change wearable device placement; (3) that can be deployed without user-specific training. This limits the real-world deployment of AmI systems.We develop opportunistic systems that recognize complex activities/contexts despite the absence of static assumptions about sensor availability and characteristics. They are based on goal-oriented sensor assemblies spontaneously arising and self-organizing to achieve a common activity/context recognition goal. They are embodied and situated, relying on self-supervised learning to achieve autonomous operation. They makes best use of the available resources, and keep working despite-or improves thanks to-changes in the sensing environment. Changes include e.g. placement, modality, sensor parameters and can occur at runtime.Four groups contribute to this goal. They develop: (1) intermediate features that reduce the impact of sensor parameter variability and isolate the recognition chain from sensor specificities; (2) classifier and classifier fusion methods suited for opportunistic systems, capable of incorporating new knowledge online, monitoring their own performance, and dynamically selecting most appropriate information sources; (3) unsupervised dynamic adaptation and autonomous evolution principles to cope with short term changes and long term trends in sensor infrastructure, (4) goal-oriented cooperative sensor ensembles to opportunistically collect data about the user and his environment in a scalable way.The methods are demonstrated in complex opportunistic activity recognition scenarios, and on robust opportunistic EEG-based BCI systems. Fields of science natural sciencescomputer and information sciencesinternetinternet of thingsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors Programme(s) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Topic(s) ICT-2007.8.0 - FET Open Call for proposal FP7-ICT-2007-C See other projects for this call Funding Scheme CP - Collaborative project (generic) Coordinator EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Address Raemistrasse 101 8092 Zuerich Switzerland See on map Region Schweiz/Suisse/Svizzera Zürich Zürich Activity type Higher or Secondary Education Establishments Administrative Contact Roggen Daniel (Dr.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution € 448 860,00 Participants (3) Sort alphabetically Sort by EU Contribution Expand all Collapse all UNIVERSITAT LINZ Austria EU contribution € 344 752,00 Address Altenberger strasse 69 4040 Linz See on map Region Westösterreich Oberösterreich Linz-Wels Activity type Higher or Secondary Education Establishments Administrative Contact Alois Ferscha (Prof.) Links Contact the organisation Opens in new window Website Opens in new window ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE Switzerland EU contribution € 327 120,00 Address Batiment ce 3316 station 1 1015 Lausanne See on map Region Schweiz/Suisse/Svizzera Région lémanique Vaud Activity type Higher or Secondary Education Establishments Administrative Contact José del R. Millán (Prof.) Links Contact the organisation Opens in new window Website Opens in new window UNIVERSITAT PASSAU Germany EU contribution € 388 036,00 Address Innstrasse 41 94032 Passau See on map Region Bayern Niederbayern Passau, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Administrative Contact Paul Lukowicz (Prof.) Links Contact the organisation Opens in new window Website Opens in new window
