Abstract
In this paper, we present an architecture for recognizing spatial relationships between real-world objects with integrated computing capabilities. The aim is to develop mechanisms for providing collectives of such artifacts with an awareness about spatial relations to other artifacts of the same collective. Therefore, an approach for recognizing binary relationships by a pairwise comparison of the spatial contexts of artifacts, as well as a novel algorithm which takes advantage of the relation properties in order to make all artifacts of the collective spatially-aware, are presented. The scope is on orientation- and distance-relationships, which are represented in a qualitative way. A general focus of this work is on the efficiency of the solutions with regard to their application in embedded systems. We expect the presented approach to be valuable for the interaction among artifacts and humans, as well as for acquiring high-level context information about artifact collectives.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd International Conference on Autonomic and Autonomous Systems (ICAS 2007) |
| Editors | IEEE CS Press |
| Number of pages | 8 |
| Publication status | Published - 2007 |
Fields of science
- 102 Computer Sciences
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102019 Machine learning
- 102020 Medical informatics
- 102021 Pervasive computing
- 102022 Software development
- 102025 Distributed systems
- 202017 Embedded systems
- 211902 Assistive technologies
- 211912 Product design