Abstract
With an increasing density of computationally enhanced objects that are distributed in physical space, it becomes important that they operate autonomously and allow for a more implicit interaction with humans. Spatial properties and relations are important in this regard, as an awareness about such context information builds up the basis for autonomously adapting to spatial changes in the environment. In this paper, we propose a relation-centric approach for the development of spatially-aware applications for autonomous embedded systems, which builds upon qualitative abstractions of spatial relations and the rule-based inference of conclusions from them. We implemented a service-oriented software framework therefore and demonstrate our approach by means of two application scenarios.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE) |
| Editors | IEEE CS Press |
| Number of pages | 6 |
| Publication status | Published - Jun 2008 |
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