Qualitative descriptors applied to ambient intelligent systems

Issue title: Living and working in smart buildings: Past, present and future

Guest editors: Stefan Poslad and Andrés Muñoz

Article type: Research Article

Authors: Falomir, Zoe

Affiliations: Cognitive Systems, Bremen Spatial Cognition Centre, Universität Bremen, Germany. E-mail: [email protected]

Abstract: In this paper, qualitative descriptors of images (QIDL+), 3D scenes (QSn3D) and movements (QMD) are proposed to be applied to ambient intelligent systems for: (i) improving human-computer interaction and (ii) enhancing their reasoning capabilities. These qualitative descriptors align with human perception and are used to produce narratives. Moreover, logic descriptions are obtained in first order logic and Prolog syntax, which enables straightforward reasoning capabilities. Finally, some use case tests carried out at Cartesium – the intelligent building at Spatial Cognition centre, at the University of Bremen – are provided to show the flexibility and applicability of these qualitative descriptors. The results provided are discussed in terms of usability, logic framework used and integration of descriptors.

Keywords: Qualitative descriptors, logics, narrative, scene understanding, Ambient Intelligence, human-machine interaction

DOI: 10.3233/AIS-160418

Journal: Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 1, pp. 21-39, 2017