INTELLIGENT SYSTEMS GROUP (ISG),Juha Röning,Jukka Riekki,Tapio Seppänen

BibTex | RIS | RefWorks Download
The Intelligent Systems Group's (ISG) mission is to carry out long-term research on novel technologies and applications of intelligent systems. The main ob- jective is to develop enhanced adaptivity and context- awareness for smart environments. The research specifically focuses on the creation of dynamic mod- els that enable monitoring, diagnostics, prediction and control of target systems (living and artificial) or op- erating environments. It is our aim to make the envi- ronment adapt to the users, instead of making the users adapt to an inflexible environment. We believe that, by creating these novel components for smart envi- ronments, important enabling functionality will emerge that will multiply the versatility and applica- bility of such living environments. We see behaviour modelling as a major challenge in developing truly intelligent and proactive environ- ments. Human users of smart environments often be- have in such a complex manner that it is hard to predefine and preprogram all of their behavioural pat- terns in software. Models of user behaviour are re- quired that are able to grasp the user's context at any moment and to enable adaptation of the functionality of the intelligent environment to the situation at hand. Further, it is essential to model the behaviour of the devices controlled by the intelligent environment; this enables adaptation to environmental changes without reprogramming. Systems should eventually learn and adapt automatically, through these models, to perform their duties effectively. Our research group combines a variety of key skills and technologies to work towards this goal. We have experience of the following key technologies: system architectures and implementation of context-aware systems; modelling and recognition of contexts from sensor signals; data mining algorithms; learning nomadic robots; embedded systems technologies; soft- ware security; and smart environment implementa- tions. The key application areas are: smart living environments of homes and institutes; industrial au- tomation; mobile robots; context-aware mobile de- vices; and wellness and medical applications. Each of these domains possesses special characteristics but, from the point of view of developing algorithms for an intelligent system, they also possess remarkable similarities. They all produce a multitude of signals that represent the status of the system. The target sys- tem behaviour should be modelled and recognized based on the signals. The application service should then act accordingly. The availability of several ap- plication domains yields many advantages: a solution to a special problem in one domain may offer added- value functionality in some other domain; our solu- tions are deployed by many of our client industries; solutions to a wide range of real-world problems de- fine a credible and versatile tool-box that has a major impact on our development-oriented subcontractual projects.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.