Designing cognition-centric smart room predicting inhabitant activities

Abstract

Assignment of easy-to-use and well-timed services staying invisible for a user is one of important features of ambient intelligent. Multimodal user interface capable to perceive speech, movements, poses and gestures of participants in order to determinate their needs provides the natural and intuitively understandable way of interaction with the developed intelligent meeting room. Awareness of the room about spatial position of the participants, their current activities, roles in a current event, their preferences helps to predict more accurately the intentions and needs of participants. Technological framework, equipment and description of technologies applied to the intelligent meeting room are presented. Some scenarios and data structures used for a formalization of context and behavior information from practical human-human, human-machine and machine-machine interaction are discussed. © 2009 Springer.