The proposed paper is mainly focused on a novel architecture for immersive multisensor data fusion. The use of agents and complex adaptive classification methods such as Self Organizing Maps (SOM), allows one to provide the system with the sufficient capability to organize information into high level abstraction contents. This knowledge or awareness of the environment can be exploited by the system itself in order to react and have an influence on the observed domain. The focus of the research carried out is concentrated on the context information defined as a set of features related to the environment, which are not created explicitly to be input to the system.
PERCEIVING CONTEXT IN AN IMMERSIVE ENVIRONMENT: A MULTISENSOR APPROACH
REGAZZONI, CARLO
2003-01-01
Abstract
The proposed paper is mainly focused on a novel architecture for immersive multisensor data fusion. The use of agents and complex adaptive classification methods such as Self Organizing Maps (SOM), allows one to provide the system with the sufficient capability to organize information into high level abstraction contents. This knowledge or awareness of the environment can be exploited by the system itself in order to react and have an influence on the observed domain. The focus of the research carried out is concentrated on the context information defined as a set of features related to the environment, which are not created explicitly to be input to the system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.