Abstract
In this paper we present a novel approach for building intelligent services in smart rooms - i.e. spaces equipped with different sets of sensors, including audio and visual perception. Designing such multi-modal perceptual systems is a non-trivial task which involves interdisciplinary effort dealing with integration of voice and image recognition technologies, situation modeling middleware and context-aware multi-user interfaces into robust and self-manageable software framework.
The inherent complexity associated with building such systems aiming at perception and understanding of behavior of people in smart spaces makes it a very difficult undertaking. Hence this fresh research arena currently suffers with immature architectural models, weak system testability, and challenging component maintainability. In addition, traditional methodologies of design lifecycle such as “bottom-up” or “top-down” fall short because of the aspects mentioned.
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Cuřín, J., Kleindienst, J. (2008). SitCom: Virtual Smart-Room Environment for Multi-modal Perceptual Systems. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_50
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DOI: https://doi.org/10.1007/978-3-540-69052-8_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69045-0
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